Face Generation

In this project, you'll use generative adversarial networks to generate new images of faces.

Get the Data

You'll be using two datasets in this project:

  • MNIST
  • CelebA

Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.

If you're using FloydHub, set data_dir to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".

In [1]:
data_dir = './data'

# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'


"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
ALPHA = 0.2
KEEP = 0.5

helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
Found mnist Data
Found celeba Data

Explore the Data

MNIST

As you're aware, the MNIST dataset contains images of handwritten digits. You can view the first number of examples by changing show_n_images.

In [2]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot

mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
Out[2]:
<matplotlib.image.AxesImage at 0x7f9ad9fbbe10>
In [3]:
import matplotlib
print(matplotlib.__version__)
2.0.0

CelebA

The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images.

In [4]:
show_n_images = 25

"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
celeba_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
print(celeba_images.shape)
pyplot.imshow(helper.images_square_grid(celeba_images, 'RGB'))
(25, 28, 28, 3)
Out[4]:
<matplotlib.image.AxesImage at 0x7f9ad9f313c8>

Preprocess the Data

Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

The MNIST images are black and white images with a single color channel while the CelebA images have 3 color channels (RGB color channel).

Build the Neural Network

You'll build the components necessary to build a GANs by implementing the following functions below:

  • model_inputs
  • discriminator
  • generator
  • model_loss
  • model_opt
  • train

Check the Version of TensorFlow and Access to GPU

This will check to make sure you have the correct version of TensorFlow and access to a GPU

In [5]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf

# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer.  You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))

# Check for a GPU
if not tf.test.gpu_device_name():
    warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
    print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
TensorFlow Version: 1.0.0
Default GPU Device: /gpu:0

Input

Implement the model_inputs function to create TF Placeholders for the Neural Network. It should create the following placeholders:

  • Real input images placeholder with rank 4 using image_width, image_height, and image_channels.
  • Z input placeholder with rank 2 using z_dim.
  • Learning rate placeholder with rank 0.

Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)

In [6]:
import problem_unittests as tests

def model_inputs(image_width, image_height, image_channels, z_dim):
    """
    Create the model inputs
    :param image_width: The input image width
    :param image_height: The input image height
    :param image_channels: The number of image channels
    :param z_dim: The dimension of Z
    :return: Tuple of (tensor of real input images, tensor of z data, learning rate)
    """
    input_real = tf.placeholder(tf.float32, shape=(None, image_width, image_height, image_channels), name='input_z')
    input_z = tf.placeholder(tf.float32, shape=(None, z_dim), name='input_z')
    learning_rate = tf.placeholder(tf.float32, shape=(None), name='learning_rate')

    return (input_real, input_z, learning_rate)


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
Tests Passed
In [7]:
def l_relu(x):
    return tf.maximum(x * ALPHA, x)

Discriminator

Implement discriminator to create a discriminator neural network that discriminates on images. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).

In [16]:
def discriminator(images, reuse=False):
    """
    Create the discriminator network
    :param images: Tensor of input image(s)
    :param reuse: Boolean if the weights should be reused
    :return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
    """
    initializer = tf.contrib.layers.xavier_initializer()
    with tf.variable_scope('discriminator', reuse=reuse):
        #Input celeb_a (28, 28, 3), (mnist 28, 28, 1)
        x1 = tf.layers.conv2d(images, 64, 5, strides=2, padding='same')
        x1 = tf.nn.dropout(x1, KEEP)
        x1 = l_relu(x1)
        #Current Size (14, 14, 64)
        x2 = tf.layers.conv2d(x1, 128, 5, strides=2, padding='same')
        x2 = tf.nn.dropout(x2, KEEP)
        x2 = l_relu(x2)
        #Current Size (7, 7, 128)
        x3 = tf.layers.conv2d(x2, 256, 5, strides=2, padding='same')
        x3 = tf.nn.dropout(x3, 0.9)
        x3 = l_relu(x3)
        #Current Size (4, 4, 256)
        flat = tf.reshape(x3, (-1, 4 * 4 * 256))
        logits = tf.layers.dense(flat, 1)
        out = tf.sigmoid(logits)
        

    return (out, logits)

"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Tests Passed

Generator

Implement generator to generate an image using z. This function should be able to reuse the variables in the neural network. Use tf.variable_scope with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim images.

In [17]:
def generator(z, out_channel_dim, is_train=True):
    """
    Create the generator network
    :param z: Input 
    :param out_channel_dim: The number of channels in the output image
    :param is_train: Boolean if generator is being used for training
    :return: The tensor output of the generator
    """
    not_is_train = not is_train
    initializer = tf.contrib.layers.xavier_initializer()
    with tf.variable_scope('generator', reuse=not_is_train):
        x1 = tf.layers.dense(z, 7 * 7 * 256)
        x1 = tf.reshape(x1, (-1, 7, 7, 256))
        x1 = tf.layers.batch_normalization(x1, training=is_train)
        x1 = tf.nn.dropout(x1, KEEP)
        x1 = l_relu(x1)
         # First Layer Complete, size is (7, 7, 256)
        x2 = tf.layers.conv2d_transpose(x1, 128, 5, strides=2, padding='same', activation=None)
        x2 = tf.layers.batch_normalization(x2, training=is_train)
        x2 = tf.nn.dropout(x2, KEEP)
        x2 = l_relu(x2)
        # Second layer complete, size is (7, 7, 128)
        x3 = tf.layers.conv2d_transpose(x2, 64, 5, strides=2, padding='same', activation=None)
        x3 = tf.layers.batch_normalization(x3, training=is_train)
        x3 = tf.nn.dropout(x3, 0.9)
        x3 = l_relu(x3)
        # Third layer complete, size is (14, 14, 64)
        logits = tf.layers.conv2d_transpose(x3, out_channel_dim, 3, strides=1, padding='same', activation=None)
        out = tf.tanh(logits)
        # Final layer complete, size is (28, 28, out_channel_dim)
    
    return out


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Tests Passed

Loss

Implement model_loss to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:

  • discriminator(images, reuse=False)
  • generator(z, out_channel_dim, is_train=True)
In [10]:
def model_loss(input_real, input_z, out_channel_dim):
    """
    Get the loss for the discriminator and generator
    :param input_real: Images from the real dataset
    :param input_z: Z input
    :param out_channel_dim: The number of channels in the output image
    :return: A tuple of (discriminator loss, generator loss)
    """
    g_model = generator(input_z, out_channel_dim, is_train=True)
    d_model_real, d_logits_real = discriminator(input_real)
    d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
    
    d_loss_real = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(
                    logits=d_logits_real, labels=tf.ones_like(d_model_real * (1 - 0.1))))
    d_loss_fake = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(
                    logits=d_logits_fake, labels=tf.zeros_like(d_model_fake)))
    g_loss = tf.reduce_mean(tf.nn.sigmoid_cross_entropy_with_logits(
                    logits=d_logits_fake, labels=tf.ones_like(d_model_fake)))
    d_loss = d_loss_real + d_loss_fake
    return(d_loss, g_loss)
    
    
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Tests Passed

Optimization

Implement model_opt to create the optimization operations for the GANs. Use tf.trainable_variables to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).

In [12]:
def model_opt(d_loss, g_loss, learning_rate, beta1):
    """
    Get optimization operations
    :param d_loss: Discriminator loss Tensor
    :param g_loss: Generator loss Tensor
    :param learning_rate: Learning Rate Placeholder
    :param beta1: The exponential decay rate for the 1st moment in the 
    :return: A tuple of (discriminator training operation, generator training operation)
    """
    t_vars = tf.trainable_variables()
    d_vars = [var for var in t_vars if var.name.startswith('discriminator')]
    g_vars = [var for var in t_vars if var.name.startswith('generator')]

    update_ops = tf.get_collection(tf.GraphKeys.UPDATE_OPS)
    
    with tf.control_dependencies(update_ops):
        d_train_opt = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
        g_train_opt = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)   
    return (d_train_opt, g_train_opt)

"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
Tests Passed

Neural Network Training

Show Output

Use this function to show the current output of the generator during training. It will help you determine how well the GANs is training.

In [13]:
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np

def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
    """
    Show example output for the generator
    :param sess: TensorFlow session
    :param n_images: Number of Images to display
    :param input_z: Input Z Tensor
    :param out_channel_dim: The number of channels in the output image
    :param image_mode: The mode to use for images ("RGB" or "L")
    """
    cmap = None if image_mode == 'RGB' else 'gray'
    z_dim = input_z.get_shape().as_list()[-1]
    example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])

    samples = sess.run(
        generator(input_z, out_channel_dim, False),
        feed_dict={input_z: example_z})

    images_grid = helper.images_square_grid(samples, image_mode)
    pyplot.imshow(images_grid, cmap=cmap)
    pyplot.show()

Train

Implement train to build and train the GANs. Use the following functions you implemented:

  • model_inputs(image_width, image_height, image_channels, z_dim)
  • model_loss(input_real, input_z, out_channel_dim)
  • model_opt(d_loss, g_loss, learning_rate, beta1)

Use the show_generator_output to show generator output while you train. Running show_generator_output for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator output every 100 batches.

In [20]:
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode,
         print_every = 10, show_every = 100):
    """
    Train the GAN
    :param epoch_count: Number of epochs
    :param batch_size: Batch Size
    :param z_dim: Z dimension
    :param learning_rate: Learning Rate
    :param beta1: The exponential decay rate for the 1st moment in the optimizer
    :param get_batches: Function to get batches
    :param data_shape: Shape of the data
    :param data_image_mode: The image mode to use for images ("RGB" or "L")
    """
    #Build Model 
    input_real, input_z, lr = model_inputs(data_shape[1], data_shape[2], data_shape[3], z_dim)
    d_loss, g_loss = model_loss(input_real, input_z, data_shape[3])
    d_opt, g_opt = model_opt(d_loss, g_loss, learning_rate, beta1)
    #Run The Model    
    steps = 0
    with tf.Session() as sess:
        sess.run(tf.global_variables_initializer())
        initializer = tf.contrib.layers.xavier_initializer()
        for epoch_i in range(epoch_count):
            for batch_images in get_batches(batch_size):
                steps += 1
                batch_images *= 2
                #Generate noise for generator
                batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
                #Run optimizers
                _ = sess.run(d_opt, feed_dict = {input_real : batch_images, input_z : batch_z})
                _ = sess.run(g_opt, feed_dict = {input_z : batch_z})
                if steps % print_every == 0:
                    train_loss_d = d_loss.eval({input_z : batch_z, input_real : batch_images})
                    train_loss_g = g_loss.eval({input_z : batch_z})
                    print('Epoch {} / {}'.format(epoch_i + 1, epoch_count),
                          'G Loss: {:.4f}'.format(train_loss_g),
                          'D Loss: {:.4f}'.format(train_loss_d))
                if steps % (show_every) == 0:
                    show_generator_output(sess, 25, input_z, data_shape[3], data_image_mode)
    print('Done')

                    
             
                

MNIST

Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.

In [15]:
batch_size = 32
z_dim = 100
learning_rate = 0.0002
beta1 = 0.2
ALPHA = 0.2
KEEP = 0.5
SHOW_EVERY = 100

"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2

mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
          mnist_dataset.shape, mnist_dataset.image_mode)
Epoch 1 / 2 G Loss: 0.6859 D Loss: 0.9977
Epoch 1 / 2 G Loss: 0.6962 D Loss: 1.1643
Epoch 1 / 2 G Loss: 0.6854 D Loss: 1.3823
Epoch 1 / 2 G Loss: 0.7097 D Loss: 1.3033
Epoch 1 / 2 G Loss: 0.8027 D Loss: 1.2436
Epoch 1 / 2 G Loss: 0.8243 D Loss: 1.2297
Epoch 1 / 2 G Loss: 0.6441 D Loss: 1.3321
Epoch 1 / 2 G Loss: 0.7384 D Loss: 1.3433
Epoch 1 / 2 G Loss: 0.7814 D Loss: 1.2598
Epoch 1 / 2 G Loss: 0.7267 D Loss: 1.3004
Epoch 1 / 2 G Loss: 0.4265 D Loss: 1.4203
Epoch 1 / 2 G Loss: 0.8369 D Loss: 1.3085
Epoch 1 / 2 G Loss: 0.6010 D Loss: 1.3674
Epoch 1 / 2 G Loss: 0.9103 D Loss: 1.2956
Epoch 1 / 2 G Loss: 0.7926 D Loss: 1.3035
Epoch 1 / 2 G Loss: 0.8816 D Loss: 1.3493
Epoch 1 / 2 G Loss: 0.8851 D Loss: 1.3697
Epoch 1 / 2 G Loss: 0.7260 D Loss: 1.3435
Epoch 1 / 2 G Loss: 0.8172 D Loss: 1.3146
Epoch 1 / 2 G Loss: 0.9379 D Loss: 1.3753
Epoch 1 / 2 G Loss: 0.7337 D Loss: 1.3874
Epoch 1 / 2 G Loss: 0.6002 D Loss: 1.2921
Epoch 1 / 2 G Loss: 0.7895 D Loss: 1.2853
Epoch 1 / 2 G Loss: 0.9815 D Loss: 1.4213
Epoch 1 / 2 G Loss: 0.6051 D Loss: 1.3552
Epoch 1 / 2 G Loss: 0.5006 D Loss: 1.3879
Epoch 1 / 2 G Loss: 0.7929 D Loss: 1.3045
Epoch 1 / 2 G Loss: 0.7183 D Loss: 1.2179
Epoch 1 / 2 G Loss: 0.9317 D Loss: 1.4479
Epoch 1 / 2 G Loss: 0.8957 D Loss: 1.2496
Epoch 1 / 2 G Loss: 0.7856 D Loss: 1.3013
Epoch 1 / 2 G Loss: 0.6948 D Loss: 1.2806
Epoch 1 / 2 G Loss: 0.5908 D Loss: 1.2969
Epoch 1 / 2 G Loss: 0.5616 D Loss: 1.3211
Epoch 1 / 2 G Loss: 0.7054 D Loss: 1.2772
Epoch 1 / 2 G Loss: 0.7604 D Loss: 1.1420
Epoch 1 / 2 G Loss: 0.7630 D Loss: 1.2378
Epoch 1 / 2 G Loss: 0.8073 D Loss: 1.2309
Epoch 1 / 2 G Loss: 0.9084 D Loss: 1.1906
Epoch 1 / 2 G Loss: 0.8468 D Loss: 1.1198
Epoch 1 / 2 G Loss: 0.7762 D Loss: 1.1854
Epoch 1 / 2 G Loss: 0.6663 D Loss: 1.3724
Epoch 1 / 2 G Loss: 0.6072 D Loss: 1.2567
Epoch 1 / 2 G Loss: 0.6364 D Loss: 1.2836
Epoch 1 / 2 G Loss: 0.8025 D Loss: 1.1536
Epoch 1 / 2 G Loss: 1.1968 D Loss: 1.2316
Epoch 1 / 2 G Loss: 0.9164 D Loss: 1.1134
Epoch 1 / 2 G Loss: 0.9131 D Loss: 1.0356
Epoch 1 / 2 G Loss: 0.7903 D Loss: 1.1440
Epoch 1 / 2 G Loss: 1.2359 D Loss: 1.1989
Epoch 1 / 2 G Loss: 0.8150 D Loss: 1.1552
Epoch 1 / 2 G Loss: 0.5959 D Loss: 1.2268
Epoch 1 / 2 G Loss: 0.9575 D Loss: 1.1242
Epoch 1 / 2 G Loss: 1.5222 D Loss: 1.1795
Epoch 1 / 2 G Loss: 0.9197 D Loss: 1.1762
Epoch 1 / 2 G Loss: 1.3706 D Loss: 1.0618
Epoch 1 / 2 G Loss: 0.8939 D Loss: 1.0924
Epoch 1 / 2 G Loss: 0.4610 D Loss: 1.1698
Epoch 1 / 2 G Loss: 1.2972 D Loss: 1.1931
Epoch 1 / 2 G Loss: 0.6901 D Loss: 1.2006
Epoch 1 / 2 G Loss: 0.7355 D Loss: 1.1822
Epoch 1 / 2 G Loss: 0.7258 D Loss: 1.0126
Epoch 1 / 2 G Loss: 0.7434 D Loss: 1.0251
Epoch 1 / 2 G Loss: 0.8620 D Loss: 1.2499
Epoch 1 / 2 G Loss: 0.8626 D Loss: 1.2853
Epoch 1 / 2 G Loss: 0.5625 D Loss: 1.2257
Epoch 1 / 2 G Loss: 0.7682 D Loss: 1.2943
Epoch 1 / 2 G Loss: 0.8514 D Loss: 1.1187
Epoch 1 / 2 G Loss: 1.1774 D Loss: 1.1708
Epoch 1 / 2 G Loss: 0.8981 D Loss: 1.0682
Epoch 1 / 2 G Loss: 0.9414 D Loss: 1.0442
Epoch 1 / 2 G Loss: 0.7464 D Loss: 1.3123
Epoch 1 / 2 G Loss: 0.7216 D Loss: 1.1528
Epoch 1 / 2 G Loss: 1.2722 D Loss: 1.2977
Epoch 1 / 2 G Loss: 1.1519 D Loss: 1.2207
Epoch 1 / 2 G Loss: 1.1359 D Loss: 1.1207
Epoch 1 / 2 G Loss: 1.2876 D Loss: 1.1907
Epoch 1 / 2 G Loss: 0.8104 D Loss: 1.1795
Epoch 1 / 2 G Loss: 0.8007 D Loss: 1.1404
Epoch 1 / 2 G Loss: 0.8210 D Loss: 1.0961
Epoch 1 / 2 G Loss: 0.8365 D Loss: 1.2334
Epoch 1 / 2 G Loss: 0.9531 D Loss: 1.3058
Epoch 1 / 2 G Loss: 0.8956 D Loss: 1.1947
Epoch 1 / 2 G Loss: 0.9260 D Loss: 1.2627
Epoch 1 / 2 G Loss: 0.8954 D Loss: 1.2489
Epoch 1 / 2 G Loss: 0.9900 D Loss: 1.1553
Epoch 1 / 2 G Loss: 1.1366 D Loss: 1.3028
Epoch 1 / 2 G Loss: 0.8235 D Loss: 1.0795
Epoch 1 / 2 G Loss: 0.8530 D Loss: 1.2517
Epoch 1 / 2 G Loss: 1.1722 D Loss: 1.4352
Epoch 1 / 2 G Loss: 1.0371 D Loss: 1.2631
Epoch 1 / 2 G Loss: 1.0506 D Loss: 1.2621
Epoch 1 / 2 G Loss: 0.8018 D Loss: 1.3464
Epoch 1 / 2 G Loss: 0.7401 D Loss: 1.3998
Epoch 1 / 2 G Loss: 0.8157 D Loss: 1.1890
Epoch 1 / 2 G Loss: 0.8459 D Loss: 1.1368
Epoch 1 / 2 G Loss: 0.8490 D Loss: 1.2025
Epoch 1 / 2 G Loss: 1.0144 D Loss: 1.2070
Epoch 1 / 2 G Loss: 0.8524 D Loss: 1.2215
Epoch 1 / 2 G Loss: 0.8287 D Loss: 1.2617
Epoch 1 / 2 G Loss: 0.9280 D Loss: 1.1871
Epoch 1 / 2 G Loss: 0.7732 D Loss: 1.0593
Epoch 1 / 2 G Loss: 0.7884 D Loss: 1.2852
Epoch 1 / 2 G Loss: 0.9085 D Loss: 1.2495
Epoch 1 / 2 G Loss: 0.6438 D Loss: 1.1889
Epoch 1 / 2 G Loss: 0.7247 D Loss: 1.2068
Epoch 1 / 2 G Loss: 0.7304 D Loss: 1.1798
Epoch 1 / 2 G Loss: 0.8904 D Loss: 1.2054
Epoch 1 / 2 G Loss: 0.8676 D Loss: 1.1658
Epoch 1 / 2 G Loss: 0.9624 D Loss: 1.2145
Epoch 1 / 2 G Loss: 0.8409 D Loss: 1.2023
Epoch 1 / 2 G Loss: 0.9230 D Loss: 1.1287
Epoch 1 / 2 G Loss: 0.8201 D Loss: 1.2346
Epoch 1 / 2 G Loss: 0.8739 D Loss: 1.4137
Epoch 1 / 2 G Loss: 0.9241 D Loss: 1.2166
Epoch 1 / 2 G Loss: 0.7894 D Loss: 1.1982
Epoch 1 / 2 G Loss: 1.0029 D Loss: 1.2187
Epoch 1 / 2 G Loss: 1.2172 D Loss: 1.1592
Epoch 1 / 2 G Loss: 0.8450 D Loss: 1.3222
Epoch 1 / 2 G Loss: 1.0353 D Loss: 1.1699
Epoch 1 / 2 G Loss: 1.0010 D Loss: 1.1766
Epoch 1 / 2 G Loss: 0.7678 D Loss: 1.1183
Epoch 1 / 2 G Loss: 0.9424 D Loss: 1.1756
Epoch 1 / 2 G Loss: 0.9487 D Loss: 1.2165
Epoch 1 / 2 G Loss: 0.6619 D Loss: 1.4434
Epoch 1 / 2 G Loss: 0.8093 D Loss: 1.1452
Epoch 1 / 2 G Loss: 0.9421 D Loss: 1.1996
Epoch 1 / 2 G Loss: 0.7418 D Loss: 1.2204
Epoch 1 / 2 G Loss: 1.1746 D Loss: 1.3396
Epoch 1 / 2 G Loss: 0.7337 D Loss: 1.2643
Epoch 1 / 2 G Loss: 0.8101 D Loss: 1.2239
Epoch 1 / 2 G Loss: 0.7775 D Loss: 1.1894
Epoch 1 / 2 G Loss: 1.1829 D Loss: 1.3058
Epoch 1 / 2 G Loss: 0.8312 D Loss: 1.1802
Epoch 1 / 2 G Loss: 0.9293 D Loss: 1.1892
Epoch 1 / 2 G Loss: 0.8115 D Loss: 1.4072
Epoch 1 / 2 G Loss: 0.8537 D Loss: 1.0552
Epoch 1 / 2 G Loss: 0.8921 D Loss: 1.1429
Epoch 1 / 2 G Loss: 0.8989 D Loss: 1.2629
Epoch 1 / 2 G Loss: 0.8943 D Loss: 1.3176
Epoch 1 / 2 G Loss: 0.8421 D Loss: 1.1342
Epoch 1 / 2 G Loss: 0.8746 D Loss: 1.1409
Epoch 1 / 2 G Loss: 0.9315 D Loss: 1.2769
Epoch 1 / 2 G Loss: 0.8767 D Loss: 1.2258
Epoch 1 / 2 G Loss: 0.8251 D Loss: 1.2339
Epoch 1 / 2 G Loss: 0.7889 D Loss: 1.3159
Epoch 1 / 2 G Loss: 1.0902 D Loss: 1.3097
Epoch 1 / 2 G Loss: 0.9390 D Loss: 1.1900
Epoch 1 / 2 G Loss: 0.7306 D Loss: 1.2758
Epoch 1 / 2 G Loss: 1.0529 D Loss: 1.2303
Epoch 1 / 2 G Loss: 0.7385 D Loss: 1.1778
Epoch 1 / 2 G Loss: 0.9050 D Loss: 1.0708
Epoch 1 / 2 G Loss: 0.7130 D Loss: 1.1617
Epoch 1 / 2 G Loss: 0.9577 D Loss: 1.2293
Epoch 1 / 2 G Loss: 0.9257 D Loss: 1.1884
Epoch 1 / 2 G Loss: 0.9408 D Loss: 1.2750
Epoch 1 / 2 G Loss: 0.7949 D Loss: 1.1326
Epoch 1 / 2 G Loss: 0.6649 D Loss: 1.2755
Epoch 1 / 2 G Loss: 0.9549 D Loss: 1.2017
Epoch 1 / 2 G Loss: 0.8561 D Loss: 1.1685
Epoch 1 / 2 G Loss: 0.8523 D Loss: 1.2547
Epoch 1 / 2 G Loss: 1.0059 D Loss: 1.1780
Epoch 1 / 2 G Loss: 1.0416 D Loss: 1.1344
Epoch 1 / 2 G Loss: 0.9407 D Loss: 1.2270
Epoch 1 / 2 G Loss: 0.8041 D Loss: 1.2439
Epoch 1 / 2 G Loss: 0.8492 D Loss: 1.1153
Epoch 1 / 2 G Loss: 0.9602 D Loss: 1.2595
Epoch 1 / 2 G Loss: 0.9158 D Loss: 1.1827
Epoch 1 / 2 G Loss: 0.7584 D Loss: 1.3155
Epoch 1 / 2 G Loss: 0.7226 D Loss: 1.2629
Epoch 1 / 2 G Loss: 0.8283 D Loss: 1.2415
Epoch 1 / 2 G Loss: 0.7124 D Loss: 1.3613
Epoch 1 / 2 G Loss: 0.7631 D Loss: 1.1108
Epoch 1 / 2 G Loss: 0.7786 D Loss: 1.1589
Epoch 1 / 2 G Loss: 0.9215 D Loss: 1.1364
Epoch 1 / 2 G Loss: 0.8595 D Loss: 1.2083
Epoch 1 / 2 G Loss: 0.6958 D Loss: 1.1872
Epoch 1 / 2 G Loss: 0.9071 D Loss: 1.2417
Epoch 1 / 2 G Loss: 0.8805 D Loss: 1.0590
Epoch 1 / 2 G Loss: 0.9070 D Loss: 1.1729
Epoch 1 / 2 G Loss: 0.9473 D Loss: 1.1416
Epoch 1 / 2 G Loss: 1.0831 D Loss: 1.2288
Epoch 1 / 2 G Loss: 0.8545 D Loss: 1.1823
Epoch 1 / 2 G Loss: 0.8994 D Loss: 1.1712
Epoch 1 / 2 G Loss: 0.9628 D Loss: 1.1546
Epoch 1 / 2 G Loss: 1.0512 D Loss: 1.2357
Epoch 1 / 2 G Loss: 0.8854 D Loss: 1.2332
Epoch 2 / 2 G Loss: 0.7174 D Loss: 1.2483
Epoch 2 / 2 G Loss: 0.9160 D Loss: 1.1204
Epoch 2 / 2 G Loss: 0.7516 D Loss: 1.2955
Epoch 2 / 2 G Loss: 0.9553 D Loss: 1.2580
Epoch 2 / 2 G Loss: 0.8842 D Loss: 1.1824
Epoch 2 / 2 G Loss: 0.7590 D Loss: 1.1852
Epoch 2 / 2 G Loss: 0.8429 D Loss: 1.2090
Epoch 2 / 2 G Loss: 0.7397 D Loss: 1.1986
Epoch 2 / 2 G Loss: 0.7306 D Loss: 1.2381
Epoch 2 / 2 G Loss: 0.9233 D Loss: 1.2187
Epoch 2 / 2 G Loss: 1.0610 D Loss: 1.2762
Epoch 2 / 2 G Loss: 0.8341 D Loss: 1.1972
Epoch 2 / 2 G Loss: 0.9029 D Loss: 1.4092
Epoch 2 / 2 G Loss: 0.8065 D Loss: 1.2958
Epoch 2 / 2 G Loss: 0.9961 D Loss: 1.2671
Epoch 2 / 2 G Loss: 0.8253 D Loss: 1.2521
Epoch 2 / 2 G Loss: 0.9614 D Loss: 1.1701
Epoch 2 / 2 G Loss: 0.9433 D Loss: 1.2124
Epoch 2 / 2 G Loss: 0.9284 D Loss: 1.3322
Epoch 2 / 2 G Loss: 0.8132 D Loss: 1.1425
Epoch 2 / 2 G Loss: 0.8201 D Loss: 1.1948
Epoch 2 / 2 G Loss: 0.7942 D Loss: 1.1202
Epoch 2 / 2 G Loss: 0.8561 D Loss: 1.2470
Epoch 2 / 2 G Loss: 0.7643 D Loss: 1.1788
Epoch 2 / 2 G Loss: 0.9838 D Loss: 1.0869
Epoch 2 / 2 G Loss: 1.0513 D Loss: 1.1854
Epoch 2 / 2 G Loss: 1.1426 D Loss: 1.2380
Epoch 2 / 2 G Loss: 0.9471 D Loss: 1.1352
Epoch 2 / 2 G Loss: 0.6487 D Loss: 1.1865
Epoch 2 / 2 G Loss: 0.7618 D Loss: 1.1197
Epoch 2 / 2 G Loss: 1.0492 D Loss: 1.2001
Epoch 2 / 2 G Loss: 0.9277 D Loss: 1.2075
Epoch 2 / 2 G Loss: 0.9745 D Loss: 1.3457
Epoch 2 / 2 G Loss: 0.8646 D Loss: 1.2352
Epoch 2 / 2 G Loss: 0.8850 D Loss: 1.1077
Epoch 2 / 2 G Loss: 1.0234 D Loss: 1.3436
Epoch 2 / 2 G Loss: 0.9873 D Loss: 1.1247
Epoch 2 / 2 G Loss: 0.9711 D Loss: 1.2492
Epoch 2 / 2 G Loss: 0.7897 D Loss: 1.1554
Epoch 2 / 2 G Loss: 1.1134 D Loss: 1.0850
Epoch 2 / 2 G Loss: 0.7641 D Loss: 1.1183
Epoch 2 / 2 G Loss: 1.0512 D Loss: 1.0508
Epoch 2 / 2 G Loss: 0.8595 D Loss: 1.1542
Epoch 2 / 2 G Loss: 0.7791 D Loss: 1.1229
Epoch 2 / 2 G Loss: 1.0639 D Loss: 1.2312
Epoch 2 / 2 G Loss: 0.9491 D Loss: 1.1351
Epoch 2 / 2 G Loss: 0.8426 D Loss: 1.1247
Epoch 2 / 2 G Loss: 0.9558 D Loss: 1.2731
Epoch 2 / 2 G Loss: 0.8661 D Loss: 1.1577
Epoch 2 / 2 G Loss: 0.8716 D Loss: 1.2299
Epoch 2 / 2 G Loss: 1.0845 D Loss: 1.1372
Epoch 2 / 2 G Loss: 0.9321 D Loss: 1.2226
Epoch 2 / 2 G Loss: 0.8638 D Loss: 1.1676
Epoch 2 / 2 G Loss: 0.8628 D Loss: 1.2498
Epoch 2 / 2 G Loss: 0.8985 D Loss: 1.1922
Epoch 2 / 2 G Loss: 0.8502 D Loss: 1.1396
Epoch 2 / 2 G Loss: 0.9957 D Loss: 1.2870
Epoch 2 / 2 G Loss: 0.9562 D Loss: 1.3227
Epoch 2 / 2 G Loss: 1.1163 D Loss: 1.1666
Epoch 2 / 2 G Loss: 0.9452 D Loss: 1.2421
Epoch 2 / 2 G Loss: 1.0531 D Loss: 1.0996
Epoch 2 / 2 G Loss: 0.9329 D Loss: 1.1175
Epoch 2 / 2 G Loss: 0.8587 D Loss: 1.1906
Epoch 2 / 2 G Loss: 1.0578 D Loss: 1.0753
Epoch 2 / 2 G Loss: 1.0132 D Loss: 1.2130
Epoch 2 / 2 G Loss: 0.9756 D Loss: 1.2101
Epoch 2 / 2 G Loss: 0.9555 D Loss: 1.1524
Epoch 2 / 2 G Loss: 0.7361 D Loss: 1.0598
Epoch 2 / 2 G Loss: 0.9404 D Loss: 1.1682
Epoch 2 / 2 G Loss: 0.9251 D Loss: 1.1314
Epoch 2 / 2 G Loss: 0.9206 D Loss: 1.2378
Epoch 2 / 2 G Loss: 0.8720 D Loss: 1.2332
Epoch 2 / 2 G Loss: 0.9484 D Loss: 1.2546
Epoch 2 / 2 G Loss: 0.8012 D Loss: 1.1755
Epoch 2 / 2 G Loss: 0.8630 D Loss: 1.1094
Epoch 2 / 2 G Loss: 1.0127 D Loss: 1.0751
Epoch 2 / 2 G Loss: 1.0370 D Loss: 1.1826
Epoch 2 / 2 G Loss: 0.9446 D Loss: 1.1485
Epoch 2 / 2 G Loss: 0.9543 D Loss: 1.2370
Epoch 2 / 2 G Loss: 1.2440 D Loss: 1.3107
Epoch 2 / 2 G Loss: 0.8869 D Loss: 1.3675
Epoch 2 / 2 G Loss: 0.8907 D Loss: 1.1383
Epoch 2 / 2 G Loss: 0.9978 D Loss: 1.0263
Epoch 2 / 2 G Loss: 0.8874 D Loss: 1.2612
Epoch 2 / 2 G Loss: 0.7581 D Loss: 1.2251
Epoch 2 / 2 G Loss: 0.8076 D Loss: 1.1302
Epoch 2 / 2 G Loss: 1.0577 D Loss: 1.0619
Epoch 2 / 2 G Loss: 1.0303 D Loss: 1.0943
Epoch 2 / 2 G Loss: 0.9903 D Loss: 1.2905
Epoch 2 / 2 G Loss: 0.9777 D Loss: 1.0554
Epoch 2 / 2 G Loss: 1.1484 D Loss: 1.0111
Epoch 2 / 2 G Loss: 0.8922 D Loss: 1.1206
Epoch 2 / 2 G Loss: 1.0210 D Loss: 1.0913
Epoch 2 / 2 G Loss: 0.7449 D Loss: 1.2317
Epoch 2 / 2 G Loss: 0.8587 D Loss: 1.1564
Epoch 2 / 2 G Loss: 1.0139 D Loss: 1.1391
Epoch 2 / 2 G Loss: 0.9075 D Loss: 1.1673
Epoch 2 / 2 G Loss: 0.8564 D Loss: 1.2410
Epoch 2 / 2 G Loss: 0.9224 D Loss: 1.2018
Epoch 2 / 2 G Loss: 1.1125 D Loss: 1.1259
Epoch 2 / 2 G Loss: 0.7989 D Loss: 1.2154
Epoch 2 / 2 G Loss: 0.9524 D Loss: 1.3490
Epoch 2 / 2 G Loss: 0.9337 D Loss: 1.0528
Epoch 2 / 2 G Loss: 0.8458 D Loss: 1.1807
Epoch 2 / 2 G Loss: 0.8917 D Loss: 1.1099
Epoch 2 / 2 G Loss: 1.1296 D Loss: 1.2384
Epoch 2 / 2 G Loss: 0.9024 D Loss: 1.1098
Epoch 2 / 2 G Loss: 0.9265 D Loss: 1.2788
Epoch 2 / 2 G Loss: 0.8126 D Loss: 1.1483
Epoch 2 / 2 G Loss: 1.1103 D Loss: 0.9983
Epoch 2 / 2 G Loss: 1.0311 D Loss: 0.9985
Epoch 2 / 2 G Loss: 1.0118 D Loss: 1.1314
Epoch 2 / 2 G Loss: 1.0585 D Loss: 1.0699
Epoch 2 / 2 G Loss: 1.1655 D Loss: 1.0997
Epoch 2 / 2 G Loss: 0.9445 D Loss: 1.1537
Epoch 2 / 2 G Loss: 0.9940 D Loss: 1.1391
Epoch 2 / 2 G Loss: 0.8583 D Loss: 1.1911
Epoch 2 / 2 G Loss: 0.8708 D Loss: 1.1312
Epoch 2 / 2 G Loss: 0.9081 D Loss: 1.1234
Epoch 2 / 2 G Loss: 0.9417 D Loss: 1.1475
Epoch 2 / 2 G Loss: 0.8058 D Loss: 1.2867
Epoch 2 / 2 G Loss: 1.0033 D Loss: 1.0939
Epoch 2 / 2 G Loss: 1.0927 D Loss: 1.0566
Epoch 2 / 2 G Loss: 0.8094 D Loss: 1.2106
Epoch 2 / 2 G Loss: 0.8278 D Loss: 1.1940
Epoch 2 / 2 G Loss: 1.0594 D Loss: 1.2592
Epoch 2 / 2 G Loss: 0.8001 D Loss: 1.1777
Epoch 2 / 2 G Loss: 0.9362 D Loss: 1.1315
Epoch 2 / 2 G Loss: 0.8235 D Loss: 1.1752
Epoch 2 / 2 G Loss: 0.8711 D Loss: 1.0755
Epoch 2 / 2 G Loss: 0.9959 D Loss: 1.3077
Epoch 2 / 2 G Loss: 0.8144 D Loss: 1.0638
Epoch 2 / 2 G Loss: 1.0251 D Loss: 1.0919
Epoch 2 / 2 G Loss: 0.8749 D Loss: 1.1035
Epoch 2 / 2 G Loss: 1.0407 D Loss: 1.0441
Epoch 2 / 2 G Loss: 1.1423 D Loss: 1.1798
Epoch 2 / 2 G Loss: 0.9234 D Loss: 1.0534
Epoch 2 / 2 G Loss: 0.9747 D Loss: 1.2804
Epoch 2 / 2 G Loss: 1.0316 D Loss: 1.1577
Epoch 2 / 2 G Loss: 1.0124 D Loss: 1.0990
Epoch 2 / 2 G Loss: 1.1701 D Loss: 1.2513
Epoch 2 / 2 G Loss: 0.8850 D Loss: 1.1126
Epoch 2 / 2 G Loss: 1.0587 D Loss: 1.0841
Epoch 2 / 2 G Loss: 1.0890 D Loss: 1.0987
Epoch 2 / 2 G Loss: 0.8468 D Loss: 1.2286
Epoch 2 / 2 G Loss: 0.8022 D Loss: 1.1879
Epoch 2 / 2 G Loss: 0.9097 D Loss: 1.0497
Epoch 2 / 2 G Loss: 0.8619 D Loss: 1.0667
Epoch 2 / 2 G Loss: 0.9925 D Loss: 1.2899
Epoch 2 / 2 G Loss: 0.9908 D Loss: 1.2392
Epoch 2 / 2 G Loss: 0.9667 D Loss: 1.2448
Epoch 2 / 2 G Loss: 0.6536 D Loss: 1.2541
Epoch 2 / 2 G Loss: 0.9274 D Loss: 1.2777
Epoch 2 / 2 G Loss: 0.8895 D Loss: 1.0248
Epoch 2 / 2 G Loss: 0.9266 D Loss: 1.1541
Epoch 2 / 2 G Loss: 1.0545 D Loss: 1.1202
Epoch 2 / 2 G Loss: 1.1868 D Loss: 1.1385
Epoch 2 / 2 G Loss: 0.9830 D Loss: 1.0392
Epoch 2 / 2 G Loss: 1.0255 D Loss: 1.3008
Epoch 2 / 2 G Loss: 0.9410 D Loss: 1.2575
Epoch 2 / 2 G Loss: 1.1075 D Loss: 1.0089
Epoch 2 / 2 G Loss: 1.0566 D Loss: 1.2146
Epoch 2 / 2 G Loss: 1.1125 D Loss: 0.9491
Epoch 2 / 2 G Loss: 0.9121 D Loss: 1.1377
Epoch 2 / 2 G Loss: 0.9021 D Loss: 1.1208
Epoch 2 / 2 G Loss: 1.2045 D Loss: 1.1862
Epoch 2 / 2 G Loss: 0.8302 D Loss: 1.3231
Epoch 2 / 2 G Loss: 0.9370 D Loss: 1.1052
Epoch 2 / 2 G Loss: 0.9904 D Loss: 1.0529
Epoch 2 / 2 G Loss: 1.0065 D Loss: 1.1480
Epoch 2 / 2 G Loss: 0.7873 D Loss: 1.1520
Epoch 2 / 2 G Loss: 1.0032 D Loss: 1.1354
Epoch 2 / 2 G Loss: 0.8408 D Loss: 1.1632
Epoch 2 / 2 G Loss: 0.9801 D Loss: 1.1483
Epoch 2 / 2 G Loss: 0.9381 D Loss: 1.3426
Epoch 2 / 2 G Loss: 0.8961 D Loss: 1.1561
Epoch 2 / 2 G Loss: 1.1001 D Loss: 1.1287
Epoch 2 / 2 G Loss: 0.9778 D Loss: 1.1910
Epoch 2 / 2 G Loss: 0.9655 D Loss: 1.2897
Epoch 2 / 2 G Loss: 0.8039 D Loss: 1.1632
Epoch 2 / 2 G Loss: 0.9162 D Loss: 1.0763
Epoch 2 / 2 G Loss: 1.1503 D Loss: 1.0568
Epoch 2 / 2 G Loss: 0.7504 D Loss: 1.0750
Epoch 2 / 2 G Loss: 0.9123 D Loss: 1.1793
Epoch 2 / 2 G Loss: 0.9703 D Loss: 1.1713
Epoch 2 / 2 G Loss: 0.8688 D Loss: 1.2431
Epoch 2 / 2 G Loss: 1.1216 D Loss: 1.0938
Epoch 2 / 2 G Loss: 1.1284 D Loss: 0.9948

CelebA

Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.

In [25]:
batch_size = 16
z_dim = 100
learning_rate = 0.0006
beta1 = 0.4
ALPHA = 0.2
KEEP = 0.5
SHOW_EVERY = 100


"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2

celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
    train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
          celeba_dataset.shape, celeba_dataset.image_mode)
Epoch 1 / 2 G Loss: 0.8247 D Loss: 0.9244
Epoch 1 / 2 G Loss: 2.6010 D Loss: 0.1841
Epoch 1 / 2 G Loss: 8.9633 D Loss: 1.0794
Epoch 1 / 2 G Loss: 5.7001 D Loss: 0.7093
Epoch 1 / 2 G Loss: 1.0398 D Loss: 0.8977
Epoch 1 / 2 G Loss: 2.8121 D Loss: 0.4674
Epoch 1 / 2 G Loss: 2.5620 D Loss: 0.7166
Epoch 1 / 2 G Loss: 2.3776 D Loss: 0.3984
Epoch 1 / 2 G Loss: 2.0341 D Loss: 0.4612
Epoch 1 / 2 G Loss: 2.2661 D Loss: 0.4774
Epoch 1 / 2 G Loss: 1.5797 D Loss: 0.5191
Epoch 1 / 2 G Loss: 1.9577 D Loss: 0.4159
Epoch 1 / 2 G Loss: 2.0044 D Loss: 0.8898
Epoch 1 / 2 G Loss: 0.7770 D Loss: 0.8723
Epoch 1 / 2 G Loss: 1.3312 D Loss: 0.9985
Epoch 1 / 2 G Loss: 1.4919 D Loss: 0.8344
Epoch 1 / 2 G Loss: 0.5528 D Loss: 1.3257
Epoch 1 / 2 G Loss: 1.9534 D Loss: 0.8907
Epoch 1 / 2 G Loss: 1.7386 D Loss: 0.7789
Epoch 1 / 2 G Loss: 1.4255 D Loss: 0.8364
Epoch 1 / 2 G Loss: 1.9572 D Loss: 0.8183
Epoch 1 / 2 G Loss: 1.6313 D Loss: 0.7793
Epoch 1 / 2 G Loss: 1.0120 D Loss: 0.7225
Epoch 1 / 2 G Loss: 0.8271 D Loss: 1.3343
Epoch 1 / 2 G Loss: 1.7066 D Loss: 0.6186
Epoch 1 / 2 G Loss: 1.3535 D Loss: 0.7162
Epoch 1 / 2 G Loss: 1.2558 D Loss: 1.0206
Epoch 1 / 2 G Loss: 0.9510 D Loss: 0.9635
Epoch 1 / 2 G Loss: 1.5814 D Loss: 1.0697
Epoch 1 / 2 G Loss: 1.5738 D Loss: 0.8692
Epoch 1 / 2 G Loss: 1.1550 D Loss: 0.9239
Epoch 1 / 2 G Loss: 1.3352 D Loss: 0.7166
Epoch 1 / 2 G Loss: 0.9513 D Loss: 0.8713
Epoch 1 / 2 G Loss: 1.3296 D Loss: 0.9599
Epoch 1 / 2 G Loss: 2.5489 D Loss: 1.0298
Epoch 1 / 2 G Loss: 2.2781 D Loss: 0.7578
Epoch 1 / 2 G Loss: 1.5332 D Loss: 1.1367
Epoch 1 / 2 G Loss: 1.1889 D Loss: 1.0175
Epoch 1 / 2 G Loss: 1.2357 D Loss: 0.9307
Epoch 1 / 2 G Loss: 1.5788 D Loss: 0.8006
Epoch 1 / 2 G Loss: 1.3862 D Loss: 1.1970
Epoch 1 / 2 G Loss: 1.1464 D Loss: 0.8978
Epoch 1 / 2 G Loss: 1.4824 D Loss: 1.0084
Epoch 1 / 2 G Loss: 0.8925 D Loss: 0.9549
Epoch 1 / 2 G Loss: 1.1363 D Loss: 1.1160
Epoch 1 / 2 G Loss: 1.0025 D Loss: 1.0394
Epoch 1 / 2 G Loss: 1.0537 D Loss: 0.7862
Epoch 1 / 2 G Loss: 0.7248 D Loss: 1.1564
Epoch 1 / 2 G Loss: 0.6110 D Loss: 1.1198
Epoch 1 / 2 G Loss: 1.2049 D Loss: 1.0004
Epoch 1 / 2 G Loss: 1.2235 D Loss: 1.1129
Epoch 1 / 2 G Loss: 0.8960 D Loss: 1.0365
Epoch 1 / 2 G Loss: 0.8068 D Loss: 1.2331
Epoch 1 / 2 G Loss: 0.8831 D Loss: 1.0243
Epoch 1 / 2 G Loss: 1.1486 D Loss: 1.1418
Epoch 1 / 2 G Loss: 0.8324 D Loss: 0.9568
Epoch 1 / 2 G Loss: 1.6637 D Loss: 0.9609
Epoch 1 / 2 G Loss: 1.0120 D Loss: 1.1034
Epoch 1 / 2 G Loss: 1.3462 D Loss: 0.9633
Epoch 1 / 2 G Loss: 0.6935 D Loss: 1.2027
Epoch 1 / 2 G Loss: 1.1716 D Loss: 0.9694
Epoch 1 / 2 G Loss: 1.3287 D Loss: 0.8291
Epoch 1 / 2 G Loss: 1.4436 D Loss: 0.9138
Epoch 1 / 2 G Loss: 1.0665 D Loss: 0.9243
Epoch 1 / 2 G Loss: 1.4520 D Loss: 1.0231
Epoch 1 / 2 G Loss: 0.7450 D Loss: 1.2891
Epoch 1 / 2 G Loss: 1.4960 D Loss: 1.1960
Epoch 1 / 2 G Loss: 1.0367 D Loss: 1.3022
Epoch 1 / 2 G Loss: 0.6274 D Loss: 1.1575
Epoch 1 / 2 G Loss: 0.8741 D Loss: 1.0090
Epoch 1 / 2 G Loss: 1.3366 D Loss: 1.1936
Epoch 1 / 2 G Loss: 1.1892 D Loss: 1.2039
Epoch 1 / 2 G Loss: 0.7327 D Loss: 1.1722
Epoch 1 / 2 G Loss: 1.3633 D Loss: 1.1570
Epoch 1 / 2 G Loss: 1.0717 D Loss: 1.1210
Epoch 1 / 2 G Loss: 1.4140 D Loss: 1.1633
Epoch 1 / 2 G Loss: 0.8331 D Loss: 1.0412
Epoch 1 / 2 G Loss: 1.3162 D Loss: 0.9515
Epoch 1 / 2 G Loss: 0.7948 D Loss: 1.0935
Epoch 1 / 2 G Loss: 1.0174 D Loss: 1.1383
Epoch 1 / 2 G Loss: 0.9367 D Loss: 1.0481
Epoch 1 / 2 G Loss: 1.1649 D Loss: 1.1080
Epoch 1 / 2 G Loss: 0.8677 D Loss: 1.1319
Epoch 1 / 2 G Loss: 0.8889 D Loss: 1.3783
Epoch 1 / 2 G Loss: 0.8960 D Loss: 1.1540
Epoch 1 / 2 G Loss: 0.9288 D Loss: 1.1800
Epoch 1 / 2 G Loss: 0.7905 D Loss: 1.1296
Epoch 1 / 2 G Loss: 0.7782 D Loss: 1.1993
Epoch 1 / 2 G Loss: 0.8821 D Loss: 1.0064
Epoch 1 / 2 G Loss: 0.9377 D Loss: 1.1863
Epoch 1 / 2 G Loss: 0.5976 D Loss: 1.3105
Epoch 1 / 2 G Loss: 0.6553 D Loss: 1.1762
Epoch 1 / 2 G Loss: 1.4805 D Loss: 0.9858
Epoch 1 / 2 G Loss: 1.1509 D Loss: 1.0567
Epoch 1 / 2 G Loss: 0.8253 D Loss: 1.1426
Epoch 1 / 2 G Loss: 0.8056 D Loss: 0.9582
Epoch 1 / 2 G Loss: 1.0617 D Loss: 1.0395
Epoch 1 / 2 G Loss: 0.6902 D Loss: 1.1816
Epoch 1 / 2 G Loss: 1.0704 D Loss: 1.2883
Epoch 1 / 2 G Loss: 1.0376 D Loss: 1.0044
Epoch 1 / 2 G Loss: 0.6567 D Loss: 1.2213
Epoch 1 / 2 G Loss: 1.1229 D Loss: 0.8799
Epoch 1 / 2 G Loss: 0.9473 D Loss: 1.1118
Epoch 1 / 2 G Loss: 0.8832 D Loss: 1.0617
Epoch 1 / 2 G Loss: 1.0851 D Loss: 1.1497
Epoch 1 / 2 G Loss: 0.8266 D Loss: 1.0387
Epoch 1 / 2 G Loss: 0.7601 D Loss: 0.9953
Epoch 1 / 2 G Loss: 1.2697 D Loss: 1.1745
Epoch 1 / 2 G Loss: 1.0439 D Loss: 1.1845
Epoch 1 / 2 G Loss: 0.8906 D Loss: 1.2267
Epoch 1 / 2 G Loss: 1.2140 D Loss: 1.1606
Epoch 1 / 2 G Loss: 1.0181 D Loss: 1.3309
Epoch 1 / 2 G Loss: 0.7135 D Loss: 1.2371
Epoch 1 / 2 G Loss: 1.2380 D Loss: 1.1929
Epoch 1 / 2 G Loss: 1.2643 D Loss: 0.9980
Epoch 1 / 2 G Loss: 1.1072 D Loss: 1.0241
Epoch 1 / 2 G Loss: 1.1077 D Loss: 1.2300
Epoch 1 / 2 G Loss: 0.7274 D Loss: 1.3218
Epoch 1 / 2 G Loss: 1.0798 D Loss: 0.9611
Epoch 1 / 2 G Loss: 0.5604 D Loss: 1.3314
Epoch 1 / 2 G Loss: 0.7195 D Loss: 1.1334
Epoch 1 / 2 G Loss: 0.9120 D Loss: 1.0282
Epoch 1 / 2 G Loss: 0.8916 D Loss: 1.1704
Epoch 1 / 2 G Loss: 0.7594 D Loss: 1.1159
Epoch 1 / 2 G Loss: 0.9203 D Loss: 1.1828
Epoch 1 / 2 G Loss: 0.5884 D Loss: 1.3612
Epoch 1 / 2 G Loss: 0.9357 D Loss: 1.1765
Epoch 1 / 2 G Loss: 0.8061 D Loss: 1.1476
Epoch 1 / 2 G Loss: 0.9275 D Loss: 1.2682
Epoch 1 / 2 G Loss: 0.9294 D Loss: 1.2557
Epoch 1 / 2 G Loss: 0.6463 D Loss: 1.0691
Epoch 1 / 2 G Loss: 0.9986 D Loss: 0.9796
Epoch 1 / 2 G Loss: 0.8536 D Loss: 0.9755
Epoch 1 / 2 G Loss: 0.8220 D Loss: 1.2995
Epoch 1 / 2 G Loss: 1.0510 D Loss: 1.1059
Epoch 1 / 2 G Loss: 0.8575 D Loss: 1.2598
Epoch 1 / 2 G Loss: 0.9271 D Loss: 1.3946
Epoch 1 / 2 G Loss: 0.6604 D Loss: 1.2821
Epoch 1 / 2 G Loss: 0.9707 D Loss: 1.2444
Epoch 1 / 2 G Loss: 0.8323 D Loss: 1.2258
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Epoch 1 / 2 G Loss: 1.1002 D Loss: 0.9697
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Epoch 1 / 2 G Loss: 0.7399 D Loss: 1.2523
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Epoch 1 / 2 G Loss: 0.9220 D Loss: 1.1391
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Epoch 1 / 2 G Loss: 1.0410 D Loss: 1.3808
Epoch 1 / 2 G Loss: 0.8399 D Loss: 1.1057
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Epoch 1 / 2 G Loss: 0.6826 D Loss: 1.2839
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Epoch 1 / 2 G Loss: 1.0487 D Loss: 1.3105
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Epoch 1 / 2 G Loss: 0.8451 D Loss: 1.0241
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Epoch 1 / 2 G Loss: 0.8158 D Loss: 1.5261
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Epoch 1 / 2 G Loss: 0.7611 D Loss: 1.0468
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Epoch 1 / 2 G Loss: 0.8289 D Loss: 1.0729
Epoch 1 / 2 G Loss: 0.8988 D Loss: 1.1956
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Epoch 1 / 2 G Loss: 1.0803 D Loss: 1.0282
Epoch 1 / 2 G Loss: 0.8458 D Loss: 1.1300
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Epoch 1 / 2 G Loss: 1.1012 D Loss: 1.2482
Epoch 1 / 2 G Loss: 0.9008 D Loss: 1.2798
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Epoch 1 / 2 G Loss: 0.7976 D Loss: 1.2327
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Epoch 1 / 2 G Loss: 0.7814 D Loss: 1.1500
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Epoch 1 / 2 G Loss: 1.2280 D Loss: 1.0947
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Epoch 1 / 2 G Loss: 0.7702 D Loss: 0.9250
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Epoch 2 / 2 G Loss: 1.1961 D Loss: 1.1091
Epoch 2 / 2 G Loss: 0.7441 D Loss: 1.2779
Epoch 2 / 2 G Loss: 0.8166 D Loss: 1.5233
Epoch 2 / 2 G Loss: 0.7483 D Loss: 0.8707
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Epoch 2 / 2 G Loss: 0.5049 D Loss: 1.2222
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Epoch 2 / 2 G Loss: 0.8357 D Loss: 1.2983
Epoch 2 / 2 G Loss: 0.6197 D Loss: 1.0775
Epoch 2 / 2 G Loss: 1.1067 D Loss: 1.0293
Epoch 2 / 2 G Loss: 0.7924 D Loss: 1.2685
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Epoch 2 / 2 G Loss: 0.8580 D Loss: 1.1951
Epoch 2 / 2 G Loss: 0.9262 D Loss: 1.3084
Epoch 2 / 2 G Loss: 1.3097 D Loss: 1.0856
Epoch 2 / 2 G Loss: 0.7546 D Loss: 1.2114
Epoch 2 / 2 G Loss: 1.0404 D Loss: 1.1529
Epoch 2 / 2 G Loss: 0.8320 D Loss: 1.1697
Epoch 2 / 2 G Loss: 0.9197 D Loss: 1.1070
Epoch 2 / 2 G Loss: 1.2095 D Loss: 1.0490
Epoch 2 / 2 G Loss: 0.8503 D Loss: 1.2815
Epoch 2 / 2 G Loss: 0.9845 D Loss: 1.1844
Epoch 2 / 2 G Loss: 0.9668 D Loss: 1.1705
Epoch 2 / 2 G Loss: 0.9710 D Loss: 1.1001
Epoch 2 / 2 G Loss: 0.7427 D Loss: 1.1861
Epoch 2 / 2 G Loss: 0.9502 D Loss: 1.1634
Epoch 2 / 2 G Loss: 0.9713 D Loss: 1.2518
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Epoch 2 / 2 G Loss: 0.8980 D Loss: 1.0332
Epoch 2 / 2 G Loss: 0.7381 D Loss: 1.1718
Epoch 2 / 2 G Loss: 1.2929 D Loss: 1.0172
Epoch 2 / 2 G Loss: 0.5984 D Loss: 1.5169
Epoch 2 / 2 G Loss: 0.8375 D Loss: 1.2121
Epoch 2 / 2 G Loss: 1.0191 D Loss: 1.2131
Epoch 2 / 2 G Loss: 1.0526 D Loss: 1.1900
Epoch 2 / 2 G Loss: 0.7708 D Loss: 1.1553
Epoch 2 / 2 G Loss: 0.8537 D Loss: 1.3401
Epoch 2 / 2 G Loss: 0.9299 D Loss: 1.2295
Epoch 2 / 2 G Loss: 0.9644 D Loss: 1.0859
Epoch 2 / 2 G Loss: 1.2077 D Loss: 0.9394
Epoch 2 / 2 G Loss: 1.0792 D Loss: 1.3067
Epoch 2 / 2 G Loss: 0.9419 D Loss: 1.2202
Epoch 2 / 2 G Loss: 0.7436 D Loss: 1.1328
Epoch 2 / 2 G Loss: 1.0427 D Loss: 1.2224
Epoch 2 / 2 G Loss: 0.9417 D Loss: 1.1049
Epoch 2 / 2 G Loss: 1.0123 D Loss: 1.1677
Epoch 2 / 2 G Loss: 0.6655 D Loss: 1.5119
Epoch 2 / 2 G Loss: 0.8589 D Loss: 1.1551
Epoch 2 / 2 G Loss: 0.8755 D Loss: 1.2933
Epoch 2 / 2 G Loss: 0.7638 D Loss: 1.1156
Epoch 2 / 2 G Loss: 1.3024 D Loss: 1.1734
Epoch 2 / 2 G Loss: 0.8401 D Loss: 1.2601
Epoch 2 / 2 G Loss: 0.7235 D Loss: 1.2634
Epoch 2 / 2 G Loss: 0.8565 D Loss: 1.3781
Epoch 2 / 2 G Loss: 0.6778 D Loss: 1.1942
Epoch 2 / 2 G Loss: 0.8441 D Loss: 1.0367
Epoch 2 / 2 G Loss: 1.0887 D Loss: 1.4131
Epoch 2 / 2 G Loss: 1.3119 D Loss: 0.9952
Epoch 2 / 2 G Loss: 1.0609 D Loss: 1.0408
Epoch 2 / 2 G Loss: 0.6992 D Loss: 1.3479
Epoch 2 / 2 G Loss: 1.0300 D Loss: 1.2074
Epoch 2 / 2 G Loss: 0.7149 D Loss: 1.2977
Epoch 2 / 2 G Loss: 1.1459 D Loss: 1.3592
Epoch 2 / 2 G Loss: 0.7276 D Loss: 1.1371
Epoch 2 / 2 G Loss: 1.1169 D Loss: 1.1631
Epoch 2 / 2 G Loss: 1.0952 D Loss: 1.0828
Epoch 2 / 2 G Loss: 0.8612 D Loss: 1.2025
Epoch 2 / 2 G Loss: 0.9081 D Loss: 1.2288
Epoch 2 / 2 G Loss: 1.1098 D Loss: 1.0694
Epoch 2 / 2 G Loss: 0.7778 D Loss: 0.9828
Epoch 2 / 2 G Loss: 0.9995 D Loss: 1.3518
Epoch 2 / 2 G Loss: 0.8327 D Loss: 1.1766
Epoch 2 / 2 G Loss: 1.0353 D Loss: 1.2102
Epoch 2 / 2 G Loss: 0.8927 D Loss: 1.2657
Epoch 2 / 2 G Loss: 0.9671 D Loss: 1.1834
Epoch 2 / 2 G Loss: 0.8765 D Loss: 1.1132
Epoch 2 / 2 G Loss: 1.1808 D Loss: 0.9429
Epoch 2 / 2 G Loss: 1.0076 D Loss: 1.3743
Epoch 2 / 2 G Loss: 1.1351 D Loss: 1.1058
Epoch 2 / 2 G Loss: 0.8300 D Loss: 1.2984
Epoch 2 / 2 G Loss: 0.8734 D Loss: 0.9590
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Epoch 2 / 2 G Loss: 1.1647 D Loss: 1.1974
Epoch 2 / 2 G Loss: 0.7103 D Loss: 1.3218
Epoch 2 / 2 G Loss: 0.8203 D Loss: 1.1657
Epoch 2 / 2 G Loss: 0.9260 D Loss: 1.1078
Epoch 2 / 2 G Loss: 0.9117 D Loss: 1.1300
Epoch 2 / 2 G Loss: 0.9046 D Loss: 1.2377
Epoch 2 / 2 G Loss: 1.0852 D Loss: 1.2040
Epoch 2 / 2 G Loss: 1.1403 D Loss: 1.1271
Epoch 2 / 2 G Loss: 0.8532 D Loss: 1.1291
Epoch 2 / 2 G Loss: 0.8074 D Loss: 1.1672
Epoch 2 / 2 G Loss: 0.8362 D Loss: 1.1093
Epoch 2 / 2 G Loss: 0.9009 D Loss: 1.2951
Epoch 2 / 2 G Loss: 0.9298 D Loss: 1.2112
Epoch 2 / 2 G Loss: 0.8372 D Loss: 1.1111
Epoch 2 / 2 G Loss: 0.6395 D Loss: 1.2844
Epoch 2 / 2 G Loss: 0.9122 D Loss: 1.4120
Epoch 2 / 2 G Loss: 0.8399 D Loss: 0.9509
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Epoch 2 / 2 G Loss: 1.0045 D Loss: 1.4283
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Epoch 2 / 2 G Loss: 0.7235 D Loss: 1.2382
Epoch 2 / 2 G Loss: 0.8478 D Loss: 1.1981
Epoch 2 / 2 G Loss: 0.7180 D Loss: 1.3422
Epoch 2 / 2 G Loss: 0.8293 D Loss: 1.0050
Epoch 2 / 2 G Loss: 0.9496 D Loss: 1.0151
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Epoch 2 / 2 G Loss: 0.6669 D Loss: 1.2205
Epoch 2 / 2 G Loss: 0.8309 D Loss: 1.0071
Epoch 2 / 2 G Loss: 0.7801 D Loss: 1.2940
Epoch 2 / 2 G Loss: 0.7562 D Loss: 1.3514
Epoch 2 / 2 G Loss: 0.9163 D Loss: 1.2289
Epoch 2 / 2 G Loss: 0.6026 D Loss: 1.2734
Epoch 2 / 2 G Loss: 0.9717 D Loss: 1.2897
Epoch 2 / 2 G Loss: 0.8740 D Loss: 1.1635
Epoch 2 / 2 G Loss: 1.0365 D Loss: 1.0016
Epoch 2 / 2 G Loss: 1.0046 D Loss: 1.2186
Epoch 2 / 2 G Loss: 0.8141 D Loss: 1.3156
Epoch 2 / 2 G Loss: 0.6766 D Loss: 1.3129
Epoch 2 / 2 G Loss: 0.8991 D Loss: 1.1888
Epoch 2 / 2 G Loss: 1.0372 D Loss: 1.1029
Epoch 2 / 2 G Loss: 0.9918 D Loss: 1.1615
Epoch 2 / 2 G Loss: 1.1896 D Loss: 1.1709
Epoch 2 / 2 G Loss: 1.0345 D Loss: 1.1225
Epoch 2 / 2 G Loss: 1.0139 D Loss: 1.1915
Epoch 2 / 2 G Loss: 0.8636 D Loss: 1.1483
Epoch 2 / 2 G Loss: 1.0589 D Loss: 1.1304
Epoch 2 / 2 G Loss: 1.1551 D Loss: 1.3109
Epoch 2 / 2 G Loss: 1.1442 D Loss: 1.2699
Epoch 2 / 2 G Loss: 0.7515 D Loss: 1.0529
Epoch 2 / 2 G Loss: 0.7324 D Loss: 1.1743
Epoch 2 / 2 G Loss: 0.9659 D Loss: 1.3085
Epoch 2 / 2 G Loss: 0.9332 D Loss: 1.0951
Epoch 2 / 2 G Loss: 0.7102 D Loss: 0.9615
Epoch 2 / 2 G Loss: 0.8489 D Loss: 1.0947
Epoch 2 / 2 G Loss: 0.9406 D Loss: 1.1137
Epoch 2 / 2 G Loss: 0.7355 D Loss: 1.1413
Epoch 2 / 2 G Loss: 0.9535 D Loss: 1.2269
Epoch 2 / 2 G Loss: 0.7169 D Loss: 1.0256
Epoch 2 / 2 G Loss: 1.1515 D Loss: 1.1016
Epoch 2 / 2 G Loss: 0.8773 D Loss: 1.3993
Epoch 2 / 2 G Loss: 0.9468 D Loss: 1.3207
Epoch 2 / 2 G Loss: 0.9005 D Loss: 1.2340
Epoch 2 / 2 G Loss: 0.8315 D Loss: 1.1970
Epoch 2 / 2 G Loss: 0.9235 D Loss: 1.2247
Epoch 2 / 2 G Loss: 0.7470 D Loss: 1.3743
Epoch 2 / 2 G Loss: 0.7509 D Loss: 1.1419
Epoch 2 / 2 G Loss: 1.1721 D Loss: 1.3035
Epoch 2 / 2 G Loss: 0.9252 D Loss: 1.1347
Epoch 2 / 2 G Loss: 1.0712 D Loss: 1.2965
Epoch 2 / 2 G Loss: 1.1178 D Loss: 1.0940
Epoch 2 / 2 G Loss: 0.9169 D Loss: 1.1839
Epoch 2 / 2 G Loss: 1.4931 D Loss: 1.4129
Epoch 2 / 2 G Loss: 0.7824 D Loss: 1.2825
Epoch 2 / 2 G Loss: 1.0324 D Loss: 1.1172
Epoch 2 / 2 G Loss: 1.0200 D Loss: 1.1240
Epoch 2 / 2 G Loss: 1.0678 D Loss: 1.2829
Epoch 2 / 2 G Loss: 1.0611 D Loss: 1.0973
Epoch 2 / 2 G Loss: 0.8598 D Loss: 1.2847
Epoch 2 / 2 G Loss: 0.9531 D Loss: 1.0534
Epoch 2 / 2 G Loss: 1.2382 D Loss: 1.2254
Epoch 2 / 2 G Loss: 0.6699 D Loss: 1.2071
Epoch 2 / 2 G Loss: 0.9464 D Loss: 1.4272
Epoch 2 / 2 G Loss: 0.8720 D Loss: 1.0227
Epoch 2 / 2 G Loss: 0.9294 D Loss: 1.1100
Epoch 2 / 2 G Loss: 1.1581 D Loss: 0.8726
Epoch 2 / 2 G Loss: 1.0459 D Loss: 1.0484
Epoch 2 / 2 G Loss: 1.0928 D Loss: 1.0852
Epoch 2 / 2 G Loss: 1.0380 D Loss: 1.2329
Epoch 2 / 2 G Loss: 0.6562 D Loss: 1.2076
Epoch 2 / 2 G Loss: 0.8591 D Loss: 1.1589
Epoch 2 / 2 G Loss: 0.8512 D Loss: 1.2377
Epoch 2 / 2 G Loss: 0.9848 D Loss: 1.3426
Epoch 2 / 2 G Loss: 0.9185 D Loss: 1.1625
Epoch 2 / 2 G Loss: 0.8493 D Loss: 1.0974
Epoch 2 / 2 G Loss: 1.0028 D Loss: 1.2388
Epoch 2 / 2 G Loss: 0.8325 D Loss: 1.0744
Epoch 2 / 2 G Loss: 0.6463 D Loss: 1.2294
Epoch 2 / 2 G Loss: 0.7222 D Loss: 1.2398
Epoch 2 / 2 G Loss: 0.9649 D Loss: 1.2252
Epoch 2 / 2 G Loss: 1.0581 D Loss: 1.2116
Epoch 2 / 2 G Loss: 0.9646 D Loss: 1.1131
Epoch 2 / 2 G Loss: 0.9186 D Loss: 1.2195
Epoch 2 / 2 G Loss: 0.8798 D Loss: 1.4457
Epoch 2 / 2 G Loss: 1.1582 D Loss: 1.1869
Epoch 2 / 2 G Loss: 0.3782 D Loss: 1.5444
Epoch 2 / 2 G Loss: 0.9382 D Loss: 1.1673
Epoch 2 / 2 G Loss: 0.9515 D Loss: 1.2386
Epoch 2 / 2 G Loss: 0.9553 D Loss: 1.0708
Epoch 2 / 2 G Loss: 1.0200 D Loss: 0.9865
Epoch 2 / 2 G Loss: 0.7398 D Loss: 1.3113
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Epoch 2 / 2 G Loss: 0.8946 D Loss: 1.1112
Epoch 2 / 2 G Loss: 1.0441 D Loss: 1.1380
Epoch 2 / 2 G Loss: 0.9751 D Loss: 1.3812
Epoch 2 / 2 G Loss: 0.6524 D Loss: 1.2468
Epoch 2 / 2 G Loss: 0.8299 D Loss: 1.1899
Epoch 2 / 2 G Loss: 1.0164 D Loss: 1.0984
Epoch 2 / 2 G Loss: 0.8277 D Loss: 1.1579
Epoch 2 / 2 G Loss: 0.8082 D Loss: 1.0267
Epoch 2 / 2 G Loss: 0.9201 D Loss: 1.1658
Epoch 2 / 2 G Loss: 0.7651 D Loss: 1.1491
Epoch 2 / 2 G Loss: 1.1465 D Loss: 1.1300
Epoch 2 / 2 G Loss: 0.5801 D Loss: 1.1490
Epoch 2 / 2 G Loss: 0.8910 D Loss: 1.1531
Epoch 2 / 2 G Loss: 0.8935 D Loss: 1.1706
Epoch 2 / 2 G Loss: 0.8689 D Loss: 1.1529
Epoch 2 / 2 G Loss: 1.0343 D Loss: 1.3234
Epoch 2 / 2 G Loss: 1.1301 D Loss: 0.9836
Epoch 2 / 2 G Loss: 0.9715 D Loss: 1.1439
Epoch 2 / 2 G Loss: 0.7663 D Loss: 1.0418
Epoch 2 / 2 G Loss: 0.9140 D Loss: 1.2545
Epoch 2 / 2 G Loss: 0.8800 D Loss: 1.1313
Epoch 2 / 2 G Loss: 1.0083 D Loss: 1.0506
Epoch 2 / 2 G Loss: 0.8027 D Loss: 1.4184
Epoch 2 / 2 G Loss: 1.1039 D Loss: 1.1746
Epoch 2 / 2 G Loss: 1.0770 D Loss: 1.3268
Epoch 2 / 2 G Loss: 0.8178 D Loss: 1.1765
Epoch 2 / 2 G Loss: 1.2851 D Loss: 1.0993
Epoch 2 / 2 G Loss: 0.8455 D Loss: 1.1806
Epoch 2 / 2 G Loss: 1.1358 D Loss: 1.3376
Epoch 2 / 2 G Loss: 0.9108 D Loss: 1.0266
Epoch 2 / 2 G Loss: 1.0677 D Loss: 1.1283
Epoch 2 / 2 G Loss: 0.7562 D Loss: 1.2918
Epoch 2 / 2 G Loss: 0.9495 D Loss: 1.1672
Epoch 2 / 2 G Loss: 0.8972 D Loss: 1.0357
Epoch 2 / 2 G Loss: 0.7627 D Loss: 1.2100
Epoch 2 / 2 G Loss: 1.1036 D Loss: 1.1115
Epoch 2 / 2 G Loss: 1.0520 D Loss: 1.0284
Epoch 2 / 2 G Loss: 0.7512 D Loss: 1.1872
Epoch 2 / 2 G Loss: 0.9009 D Loss: 1.1689
Epoch 2 / 2 G Loss: 0.7261 D Loss: 1.2873
Epoch 2 / 2 G Loss: 0.9292 D Loss: 0.9959
Epoch 2 / 2 G Loss: 1.2810 D Loss: 1.0672
Epoch 2 / 2 G Loss: 0.7818 D Loss: 1.1197
Epoch 2 / 2 G Loss: 0.9336 D Loss: 1.0429
Epoch 2 / 2 G Loss: 0.7749 D Loss: 1.5402
Epoch 2 / 2 G Loss: 0.8284 D Loss: 1.3446
Epoch 2 / 2 G Loss: 0.8938 D Loss: 1.2041
Epoch 2 / 2 G Loss: 1.1875 D Loss: 1.0078
Epoch 2 / 2 G Loss: 0.7703 D Loss: 1.2827
Epoch 2 / 2 G Loss: 0.8890 D Loss: 1.2363
Epoch 2 / 2 G Loss: 0.9614 D Loss: 1.2832
Epoch 2 / 2 G Loss: 1.0774 D Loss: 1.1222
Epoch 2 / 2 G Loss: 0.6578 D Loss: 1.3529
Epoch 2 / 2 G Loss: 0.9920 D Loss: 1.4445
Epoch 2 / 2 G Loss: 0.7279 D Loss: 1.0900
Epoch 2 / 2 G Loss: 0.9007 D Loss: 1.0465
Epoch 2 / 2 G Loss: 0.8598 D Loss: 1.0423
Epoch 2 / 2 G Loss: 0.7302 D Loss: 1.2952
Epoch 2 / 2 G Loss: 0.8992 D Loss: 1.1736
Epoch 2 / 2 G Loss: 0.8361 D Loss: 0.9693
Epoch 2 / 2 G Loss: 1.0026 D Loss: 1.2384
Epoch 2 / 2 G Loss: 0.8849 D Loss: 1.0326
Epoch 2 / 2 G Loss: 0.9172 D Loss: 1.2759
Epoch 2 / 2 G Loss: 0.8332 D Loss: 1.0406
Epoch 2 / 2 G Loss: 0.7634 D Loss: 1.1206
Epoch 2 / 2 G Loss: 0.9277 D Loss: 0.9744
Epoch 2 / 2 G Loss: 1.1365 D Loss: 1.0384
Epoch 2 / 2 G Loss: 0.9654 D Loss: 1.0230
Epoch 2 / 2 G Loss: 0.8354 D Loss: 1.2315
Epoch 2 / 2 G Loss: 1.2838 D Loss: 1.0386
Epoch 2 / 2 G Loss: 0.8756 D Loss: 1.0949
Epoch 2 / 2 G Loss: 1.0474 D Loss: 1.1329
Epoch 2 / 2 G Loss: 0.9063 D Loss: 1.1471
Epoch 2 / 2 G Loss: 0.8662 D Loss: 1.2224
Epoch 2 / 2 G Loss: 1.1971 D Loss: 1.0344
Epoch 2 / 2 G Loss: 0.7698 D Loss: 0.9446
Epoch 2 / 2 G Loss: 1.1276 D Loss: 1.0050
Epoch 2 / 2 G Loss: 0.9821 D Loss: 1.0343
Epoch 2 / 2 G Loss: 1.0643 D Loss: 1.1397
Epoch 2 / 2 G Loss: 0.9682 D Loss: 1.1548
Epoch 2 / 2 G Loss: 0.8160 D Loss: 1.1333
Epoch 2 / 2 G Loss: 1.3041 D Loss: 1.2859
Epoch 2 / 2 G Loss: 0.7396 D Loss: 1.1657
Epoch 2 / 2 G Loss: 1.0632 D Loss: 1.0685
Epoch 2 / 2 G Loss: 0.8892 D Loss: 1.0775
Epoch 2 / 2 G Loss: 1.2125 D Loss: 1.0405
Epoch 2 / 2 G Loss: 0.9597 D Loss: 1.4649
Epoch 2 / 2 G Loss: 0.7512 D Loss: 1.1854
Epoch 2 / 2 G Loss: 0.9335 D Loss: 1.0357
Epoch 2 / 2 G Loss: 0.9667 D Loss: 1.1104
Epoch 2 / 2 G Loss: 0.8001 D Loss: 1.1938
Epoch 2 / 2 G Loss: 0.7113 D Loss: 1.1406
Epoch 2 / 2 G Loss: 0.9425 D Loss: 1.1463
Epoch 2 / 2 G Loss: 0.7808 D Loss: 1.0676
Epoch 2 / 2 G Loss: 0.8292 D Loss: 1.1566
Epoch 2 / 2 G Loss: 0.8966 D Loss: 1.0918
Epoch 2 / 2 G Loss: 0.9694 D Loss: 1.0908
Epoch 2 / 2 G Loss: 0.6905 D Loss: 1.1924
Epoch 2 / 2 G Loss: 1.0572 D Loss: 1.1546
Epoch 2 / 2 G Loss: 0.8348 D Loss: 1.2419
Epoch 2 / 2 G Loss: 0.7135 D Loss: 1.4051
Epoch 2 / 2 G Loss: 0.8362 D Loss: 1.3252
Epoch 2 / 2 G Loss: 1.0820 D Loss: 1.1876
Epoch 2 / 2 G Loss: 1.0520 D Loss: 1.0315
Epoch 2 / 2 G Loss: 0.8811 D Loss: 1.3136
Epoch 2 / 2 G Loss: 1.4434 D Loss: 0.9308
Epoch 2 / 2 G Loss: 0.8000 D Loss: 1.2182
Epoch 2 / 2 G Loss: 0.8356 D Loss: 1.1443
Epoch 2 / 2 G Loss: 1.0611 D Loss: 1.3025
Epoch 2 / 2 G Loss: 0.9750 D Loss: 1.2325
Epoch 2 / 2 G Loss: 1.0678 D Loss: 1.1629
Epoch 2 / 2 G Loss: 0.9391 D Loss: 1.2487
Epoch 2 / 2 G Loss: 0.6263 D Loss: 1.2531
Epoch 2 / 2 G Loss: 1.0970 D Loss: 1.0936
Epoch 2 / 2 G Loss: 0.9770 D Loss: 1.1571
Epoch 2 / 2 G Loss: 0.9169 D Loss: 1.0515
Epoch 2 / 2 G Loss: 0.9181 D Loss: 0.9800
Epoch 2 / 2 G Loss: 0.9469 D Loss: 1.1972
Epoch 2 / 2 G Loss: 0.9449 D Loss: 1.0618
Epoch 2 / 2 G Loss: 0.8239 D Loss: 1.1353
Epoch 2 / 2 G Loss: 0.7624 D Loss: 1.2776
Epoch 2 / 2 G Loss: 0.9744 D Loss: 1.0860
Epoch 2 / 2 G Loss: 0.8408 D Loss: 1.3718
Epoch 2 / 2 G Loss: 0.8132 D Loss: 1.2420
Epoch 2 / 2 G Loss: 0.9754 D Loss: 1.2993
Epoch 2 / 2 G Loss: 0.7647 D Loss: 1.1690
Epoch 2 / 2 G Loss: 1.0423 D Loss: 1.4611
Epoch 2 / 2 G Loss: 0.8154 D Loss: 1.2290
Epoch 2 / 2 G Loss: 1.0541 D Loss: 1.1414
Epoch 2 / 2 G Loss: 0.8462 D Loss: 1.1790
Epoch 2 / 2 G Loss: 0.6348 D Loss: 1.1809
Epoch 2 / 2 G Loss: 1.0016 D Loss: 1.2915
Epoch 2 / 2 G Loss: 0.9590 D Loss: 1.1858
Epoch 2 / 2 G Loss: 0.9477 D Loss: 0.9479
Epoch 2 / 2 G Loss: 1.1641 D Loss: 1.3740
Epoch 2 / 2 G Loss: 0.9814 D Loss: 1.1294
Epoch 2 / 2 G Loss: 0.9217 D Loss: 1.1478
Epoch 2 / 2 G Loss: 0.8286 D Loss: 1.1143
Epoch 2 / 2 G Loss: 0.8293 D Loss: 1.3713
Epoch 2 / 2 G Loss: 0.8005 D Loss: 1.2975
Epoch 2 / 2 G Loss: 0.9007 D Loss: 1.2072
Epoch 2 / 2 G Loss: 0.7757 D Loss: 1.1509
Epoch 2 / 2 G Loss: 1.1689 D Loss: 1.2719
Epoch 2 / 2 G Loss: 0.9449 D Loss: 1.2644
Epoch 2 / 2 G Loss: 1.0365 D Loss: 1.0495
Epoch 2 / 2 G Loss: 0.7479 D Loss: 1.1785
Epoch 2 / 2 G Loss: 0.6494 D Loss: 1.2282
Epoch 2 / 2 G Loss: 0.9005 D Loss: 1.1936
Epoch 2 / 2 G Loss: 0.6848 D Loss: 1.4505
Epoch 2 / 2 G Loss: 0.9487 D Loss: 1.1008
Epoch 2 / 2 G Loss: 1.0273 D Loss: 1.1601
Epoch 2 / 2 G Loss: 0.8966 D Loss: 1.0741
Epoch 2 / 2 G Loss: 1.0022 D Loss: 1.2858
Epoch 2 / 2 G Loss: 1.1664 D Loss: 1.1623
Epoch 2 / 2 G Loss: 1.1075 D Loss: 1.1153
Epoch 2 / 2 G Loss: 0.7052 D Loss: 1.2306
Epoch 2 / 2 G Loss: 1.0643 D Loss: 1.1423
Epoch 2 / 2 G Loss: 0.9536 D Loss: 1.0916
Epoch 2 / 2 G Loss: 1.0551 D Loss: 1.3950
Epoch 2 / 2 G Loss: 0.9204 D Loss: 0.9367
Epoch 2 / 2 G Loss: 1.0482 D Loss: 1.2608
Epoch 2 / 2 G Loss: 0.7720 D Loss: 1.1761
Epoch 2 / 2 G Loss: 0.8337 D Loss: 1.1707
Epoch 2 / 2 G Loss: 0.9036 D Loss: 1.0018
Epoch 2 / 2 G Loss: 0.7965 D Loss: 1.3271
Epoch 2 / 2 G Loss: 1.0985 D Loss: 1.2157
Epoch 2 / 2 G Loss: 0.7988 D Loss: 1.4013
Epoch 2 / 2 G Loss: 0.9269 D Loss: 1.1935
Epoch 2 / 2 G Loss: 1.1937 D Loss: 1.1088
Epoch 2 / 2 G Loss: 0.9541 D Loss: 1.1986
Epoch 2 / 2 G Loss: 1.1985 D Loss: 0.9994
Epoch 2 / 2 G Loss: 0.7128 D Loss: 1.1878
Epoch 2 / 2 G Loss: 0.9860 D Loss: 1.2624
Epoch 2 / 2 G Loss: 0.7683 D Loss: 1.2256
Epoch 2 / 2 G Loss: 0.7474 D Loss: 1.2218
Epoch 2 / 2 G Loss: 1.1187 D Loss: 1.0360
Epoch 2 / 2 G Loss: 0.6998 D Loss: 1.2727
Epoch 2 / 2 G Loss: 0.8100 D Loss: 1.0412
Epoch 2 / 2 G Loss: 1.1179 D Loss: 1.2133
Epoch 2 / 2 G Loss: 0.9697 D Loss: 1.3206
Epoch 2 / 2 G Loss: 0.8918 D Loss: 1.4074
Epoch 2 / 2 G Loss: 1.0786 D Loss: 1.0608
Epoch 2 / 2 G Loss: 0.8136 D Loss: 1.0734
Epoch 2 / 2 G Loss: 1.0196 D Loss: 1.1465
Epoch 2 / 2 G Loss: 1.3337 D Loss: 1.1554
Epoch 2 / 2 G Loss: 0.7667 D Loss: 1.3817
Epoch 2 / 2 G Loss: 1.0443 D Loss: 1.3363
Epoch 2 / 2 G Loss: 0.6895 D Loss: 1.2664
Epoch 2 / 2 G Loss: 0.8428 D Loss: 1.2158
Epoch 2 / 2 G Loss: 1.0908 D Loss: 1.1323
Epoch 2 / 2 G Loss: 1.0031 D Loss: 1.3570
Epoch 2 / 2 G Loss: 1.1188 D Loss: 0.9696
Epoch 2 / 2 G Loss: 1.1294 D Loss: 0.9665
Epoch 2 / 2 G Loss: 0.7675 D Loss: 1.1730
Epoch 2 / 2 G Loss: 0.9321 D Loss: 1.2285
Epoch 2 / 2 G Loss: 0.9435 D Loss: 1.2325
Epoch 2 / 2 G Loss: 0.8110 D Loss: 1.1072
Epoch 2 / 2 G Loss: 1.0231 D Loss: 1.2331
Epoch 2 / 2 G Loss: 1.2766 D Loss: 1.0802
Epoch 2 / 2 G Loss: 1.0733 D Loss: 1.2800
Epoch 2 / 2 G Loss: 0.8486 D Loss: 1.1156
Epoch 2 / 2 G Loss: 0.9012 D Loss: 1.2150
Epoch 2 / 2 G Loss: 0.6506 D Loss: 1.1595
Epoch 2 / 2 G Loss: 0.9650 D Loss: 1.2461
Epoch 2 / 2 G Loss: 1.0190 D Loss: 1.1855
Epoch 2 / 2 G Loss: 0.9257 D Loss: 1.3961
Epoch 2 / 2 G Loss: 0.9933 D Loss: 1.2104
Epoch 2 / 2 G Loss: 0.8479 D Loss: 1.1821
Epoch 2 / 2 G Loss: 1.0489 D Loss: 1.3629
Epoch 2 / 2 G Loss: 0.9610 D Loss: 1.3495
Epoch 2 / 2 G Loss: 1.1259 D Loss: 1.1506
Epoch 2 / 2 G Loss: 1.0294 D Loss: 1.0952
Epoch 2 / 2 G Loss: 0.8932 D Loss: 1.1852
Epoch 2 / 2 G Loss: 1.0327 D Loss: 1.0942
Epoch 2 / 2 G Loss: 0.8411 D Loss: 0.9369
Epoch 2 / 2 G Loss: 1.2029 D Loss: 1.1456
Epoch 2 / 2 G Loss: 0.8358 D Loss: 1.1689
Epoch 2 / 2 G Loss: 1.0168 D Loss: 0.8439
Epoch 2 / 2 G Loss: 0.9845 D Loss: 1.0482
Epoch 2 / 2 G Loss: 0.7065 D Loss: 1.3131
Epoch 2 / 2 G Loss: 0.9852 D Loss: 1.2085
Epoch 2 / 2 G Loss: 0.9826 D Loss: 1.1196
Epoch 2 / 2 G Loss: 0.8247 D Loss: 1.1828
Epoch 2 / 2 G Loss: 0.9484 D Loss: 1.1745
Epoch 2 / 2 G Loss: 1.0575 D Loss: 1.1077
Epoch 2 / 2 G Loss: 1.0021 D Loss: 1.3845
Epoch 2 / 2 G Loss: 0.8636 D Loss: 1.1496
Epoch 2 / 2 G Loss: 0.8426 D Loss: 1.3036
Epoch 2 / 2 G Loss: 0.9713 D Loss: 1.0006
Epoch 2 / 2 G Loss: 1.1293 D Loss: 1.0679
Epoch 2 / 2 G Loss: 1.1195 D Loss: 1.2005
Epoch 2 / 2 G Loss: 0.7069 D Loss: 0.9972
Epoch 2 / 2 G Loss: 0.8086 D Loss: 1.2452
Epoch 2 / 2 G Loss: 1.2265 D Loss: 1.1979
Epoch 2 / 2 G Loss: 0.8105 D Loss: 0.9670
Epoch 2 / 2 G Loss: 0.8818 D Loss: 1.3803
Epoch 2 / 2 G Loss: 1.2365 D Loss: 1.2334
Epoch 2 / 2 G Loss: 0.9158 D Loss: 1.2725
Epoch 2 / 2 G Loss: 0.7242 D Loss: 1.1211
Epoch 2 / 2 G Loss: 0.9925 D Loss: 1.0944
Epoch 2 / 2 G Loss: 0.8202 D Loss: 1.2023
Epoch 2 / 2 G Loss: 0.9971 D Loss: 1.4432
Epoch 2 / 2 G Loss: 0.9953 D Loss: 0.9038
Epoch 2 / 2 G Loss: 1.1309 D Loss: 1.0332
Epoch 2 / 2 G Loss: 0.6409 D Loss: 1.2916
Epoch 2 / 2 G Loss: 0.9436 D Loss: 1.3087
Epoch 2 / 2 G Loss: 0.9738 D Loss: 1.3061
Epoch 2 / 2 G Loss: 1.3633 D Loss: 1.2418
Epoch 2 / 2 G Loss: 1.0846 D Loss: 1.2585
Epoch 2 / 2 G Loss: 0.8068 D Loss: 1.1487
Epoch 2 / 2 G Loss: 1.0006 D Loss: 1.3029
Epoch 2 / 2 G Loss: 1.2971 D Loss: 1.0392
Epoch 2 / 2 G Loss: 1.4073 D Loss: 1.2974
Epoch 2 / 2 G Loss: 0.8326 D Loss: 1.3947
Epoch 2 / 2 G Loss: 0.6883 D Loss: 1.3873
Epoch 2 / 2 G Loss: 0.9156 D Loss: 0.9464
Epoch 2 / 2 G Loss: 0.8596 D Loss: 1.3895
Epoch 2 / 2 G Loss: 1.2615 D Loss: 0.8947
Epoch 2 / 2 G Loss: 0.8605 D Loss: 1.1161
Epoch 2 / 2 G Loss: 0.8975 D Loss: 1.1181
Epoch 2 / 2 G Loss: 0.7463 D Loss: 1.0025
Epoch 2 / 2 G Loss: 0.8597 D Loss: 1.0147
Epoch 2 / 2 G Loss: 0.5731 D Loss: 1.2161
Epoch 2 / 2 G Loss: 0.8822 D Loss: 1.3226
Epoch 2 / 2 G Loss: 0.7285 D Loss: 1.1991
Epoch 2 / 2 G Loss: 1.1692 D Loss: 1.0243
Epoch 2 / 2 G Loss: 1.0096 D Loss: 1.4437
Epoch 2 / 2 G Loss: 1.1247 D Loss: 1.3115
Epoch 2 / 2 G Loss: 1.3523 D Loss: 1.1176
Epoch 2 / 2 G Loss: 1.3392 D Loss: 1.2792
Epoch 2 / 2 G Loss: 1.1878 D Loss: 1.1106
Epoch 2 / 2 G Loss: 0.9791 D Loss: 1.3126
Epoch 2 / 2 G Loss: 1.2510 D Loss: 1.2861
Epoch 2 / 2 G Loss: 0.9679 D Loss: 1.2526
Epoch 2 / 2 G Loss: 1.0655 D Loss: 1.2562
Epoch 2 / 2 G Loss: 1.0263 D Loss: 1.1136
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Epoch 2 / 2 G Loss: 0.6298 D Loss: 1.1343
Epoch 2 / 2 G Loss: 0.8257 D Loss: 1.1795
Epoch 2 / 2 G Loss: 0.8670 D Loss: 1.3204
Epoch 2 / 2 G Loss: 0.8359 D Loss: 1.1857
Epoch 2 / 2 G Loss: 0.6269 D Loss: 1.1657
Epoch 2 / 2 G Loss: 0.7617 D Loss: 1.2364
Epoch 2 / 2 G Loss: 0.7791 D Loss: 1.1349
Epoch 2 / 2 G Loss: 0.7422 D Loss: 1.0666
Epoch 2 / 2 G Loss: 0.6362 D Loss: 1.1986
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Epoch 2 / 2 G Loss: 1.1746 D Loss: 1.0442
Epoch 2 / 2 G Loss: 0.7197 D Loss: 1.1790
Epoch 2 / 2 G Loss: 0.8257 D Loss: 1.2331
Epoch 2 / 2 G Loss: 1.0557 D Loss: 1.0696
Epoch 2 / 2 G Loss: 0.9653 D Loss: 0.9676
Epoch 2 / 2 G Loss: 0.8606 D Loss: 1.1862
Epoch 2 / 2 G Loss: 1.1133 D Loss: 1.2513
Epoch 2 / 2 G Loss: 0.9398 D Loss: 1.1722
Epoch 2 / 2 G Loss: 0.8934 D Loss: 1.1089
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Epoch 2 / 2 G Loss: 1.2105 D Loss: 1.2931
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Epoch 2 / 2 G Loss: 0.9310 D Loss: 1.3762
Epoch 2 / 2 G Loss: 0.7106 D Loss: 1.3415
Epoch 2 / 2 G Loss: 0.8955 D Loss: 1.1592
Epoch 2 / 2 G Loss: 0.9081 D Loss: 1.1411
Epoch 2 / 2 G Loss: 0.7932 D Loss: 1.2040
Epoch 2 / 2 G Loss: 0.7517 D Loss: 1.1454
Epoch 2 / 2 G Loss: 0.8454 D Loss: 1.3983
Epoch 2 / 2 G Loss: 0.9686 D Loss: 1.2753
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Epoch 2 / 2 G Loss: 0.9887 D Loss: 1.0426
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Epoch 2 / 2 G Loss: 1.1029 D Loss: 1.0995
Epoch 2 / 2 G Loss: 0.7652 D Loss: 1.2423
Epoch 2 / 2 G Loss: 1.0502 D Loss: 0.9809
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Epoch 2 / 2 G Loss: 1.0421 D Loss: 1.0460
Epoch 2 / 2 G Loss: 1.3159 D Loss: 1.1967
Epoch 2 / 2 G Loss: 1.0512 D Loss: 1.0286
Epoch 2 / 2 G Loss: 0.6968 D Loss: 1.0373
Epoch 2 / 2 G Loss: 1.1741 D Loss: 1.2584
Epoch 2 / 2 G Loss: 1.0671 D Loss: 1.1685
Epoch 2 / 2 G Loss: 0.9311 D Loss: 1.0061
Epoch 2 / 2 G Loss: 1.0082 D Loss: 1.2557
Epoch 2 / 2 G Loss: 0.8599 D Loss: 1.1241
Epoch 2 / 2 G Loss: 0.8115 D Loss: 1.4522
Epoch 2 / 2 G Loss: 0.7306 D Loss: 1.1339
Epoch 2 / 2 G Loss: 0.6883 D Loss: 1.0880
Epoch 2 / 2 G Loss: 0.7798 D Loss: 1.1323
Epoch 2 / 2 G Loss: 0.7739 D Loss: 1.4073
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Epoch 2 / 2 G Loss: 0.7208 D Loss: 1.2697
Epoch 2 / 2 G Loss: 0.9052 D Loss: 1.1930
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Epoch 2 / 2 G Loss: 0.7210 D Loss: 1.2403
Epoch 2 / 2 G Loss: 1.1564 D Loss: 1.2010
Epoch 2 / 2 G Loss: 0.8789 D Loss: 1.1415
Epoch 2 / 2 G Loss: 0.9344 D Loss: 1.0150
Epoch 2 / 2 G Loss: 0.7106 D Loss: 1.1570
Epoch 2 / 2 G Loss: 0.5762 D Loss: 1.3440
Epoch 2 / 2 G Loss: 0.5833 D Loss: 1.4287
Epoch 2 / 2 G Loss: 1.0780 D Loss: 1.2634
Epoch 2 / 2 G Loss: 0.7923 D Loss: 1.1463
Epoch 2 / 2 G Loss: 0.8871 D Loss: 1.2878
Epoch 2 / 2 G Loss: 0.9830 D Loss: 1.1086
Epoch 2 / 2 G Loss: 1.0698 D Loss: 1.2369
Epoch 2 / 2 G Loss: 0.7262 D Loss: 1.0663
Epoch 2 / 2 G Loss: 0.8286 D Loss: 1.1858
Epoch 2 / 2 G Loss: 0.8058 D Loss: 1.2816
Epoch 2 / 2 G Loss: 0.9550 D Loss: 1.2498
Epoch 2 / 2 G Loss: 0.8548 D Loss: 1.0111
Epoch 2 / 2 G Loss: 1.0478 D Loss: 1.1544
Epoch 2 / 2 G Loss: 0.9472 D Loss: 1.0585
Epoch 2 / 2 G Loss: 0.6195 D Loss: 1.2360
Epoch 2 / 2 G Loss: 1.0615 D Loss: 1.2456
Epoch 2 / 2 G Loss: 1.0872 D Loss: 0.8731
Epoch 2 / 2 G Loss: 0.8811 D Loss: 1.0292
Epoch 2 / 2 G Loss: 0.8517 D Loss: 1.3503
Epoch 2 / 2 G Loss: 0.8500 D Loss: 1.1094
Epoch 2 / 2 G Loss: 0.8041 D Loss: 1.2823
Epoch 2 / 2 G Loss: 0.7863 D Loss: 1.3431
Epoch 2 / 2 G Loss: 0.7308 D Loss: 1.4015
Epoch 2 / 2 G Loss: 0.9851 D Loss: 1.4152
Epoch 2 / 2 G Loss: 0.7372 D Loss: 1.1211
Epoch 2 / 2 G Loss: 0.8493 D Loss: 1.1357
Epoch 2 / 2 G Loss: 0.9149 D Loss: 1.0468
Epoch 2 / 2 G Loss: 0.6209 D Loss: 1.1803
Epoch 2 / 2 G Loss: 1.3508 D Loss: 1.1056
Epoch 2 / 2 G Loss: 1.2752 D Loss: 1.0881
Epoch 2 / 2 G Loss: 0.9190 D Loss: 1.1749
Epoch 2 / 2 G Loss: 0.8925 D Loss: 0.9917
Epoch 2 / 2 G Loss: 0.9634 D Loss: 1.1392
Epoch 2 / 2 G Loss: 0.8129 D Loss: 1.3187
Epoch 2 / 2 G Loss: 0.7949 D Loss: 1.0789
Epoch 2 / 2 G Loss: 1.2281 D Loss: 1.2403
Epoch 2 / 2 G Loss: 1.0584 D Loss: 1.1209
Epoch 2 / 2 G Loss: 0.7511 D Loss: 1.2567
Epoch 2 / 2 G Loss: 0.8057 D Loss: 1.3646
Epoch 2 / 2 G Loss: 1.0972 D Loss: 1.1508
Epoch 2 / 2 G Loss: 0.9921 D Loss: 1.2319
Epoch 2 / 2 G Loss: 0.8630 D Loss: 1.0499
Epoch 2 / 2 G Loss: 0.9582 D Loss: 0.9476
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Epoch 2 / 2 G Loss: 1.0645 D Loss: 1.2599
Epoch 2 / 2 G Loss: 0.6888 D Loss: 1.0916
Epoch 2 / 2 G Loss: 0.9826 D Loss: 1.1126
Epoch 2 / 2 G Loss: 0.8757 D Loss: 1.1401
Epoch 2 / 2 G Loss: 1.0928 D Loss: 0.9909
Epoch 2 / 2 G Loss: 0.9233 D Loss: 1.2476
Epoch 2 / 2 G Loss: 1.0362 D Loss: 1.0129
Epoch 2 / 2 G Loss: 0.9763 D Loss: 1.1620
Epoch 2 / 2 G Loss: 1.3517 D Loss: 1.2427
Epoch 2 / 2 G Loss: 0.9072 D Loss: 1.5775
Epoch 2 / 2 G Loss: 0.9879 D Loss: 1.1426
Epoch 2 / 2 G Loss: 1.0370 D Loss: 1.1352
Epoch 2 / 2 G Loss: 1.0288 D Loss: 1.1029
Epoch 2 / 2 G Loss: 0.8866 D Loss: 1.2131
Epoch 2 / 2 G Loss: 1.2574 D Loss: 0.8879
Epoch 2 / 2 G Loss: 0.9341 D Loss: 1.2806
Epoch 2 / 2 G Loss: 1.0912 D Loss: 1.0816
Epoch 2 / 2 G Loss: 0.8509 D Loss: 1.2829
Epoch 2 / 2 G Loss: 0.7653 D Loss: 1.1275
Epoch 2 / 2 G Loss: 0.8860 D Loss: 1.3442
Epoch 2 / 2 G Loss: 1.1440 D Loss: 1.0511
Epoch 2 / 2 G Loss: 0.9151 D Loss: 1.1204
Epoch 2 / 2 G Loss: 0.6507 D Loss: 1.2354
Epoch 2 / 2 G Loss: 1.2888 D Loss: 1.0798
Epoch 2 / 2 G Loss: 0.9039 D Loss: 1.2791
Epoch 2 / 2 G Loss: 0.9063 D Loss: 1.1965
Epoch 2 / 2 G Loss: 0.7407 D Loss: 1.0076
Epoch 2 / 2 G Loss: 0.8029 D Loss: 1.0291
Epoch 2 / 2 G Loss: 0.8430 D Loss: 1.1829
Epoch 2 / 2 G Loss: 1.3395 D Loss: 1.0741
Epoch 2 / 2 G Loss: 1.2006 D Loss: 1.1420
Epoch 2 / 2 G Loss: 0.8144 D Loss: 1.2614
Epoch 2 / 2 G Loss: 1.1743 D Loss: 1.2191
Epoch 2 / 2 G Loss: 0.7946 D Loss: 1.1527
Epoch 2 / 2 G Loss: 1.0020 D Loss: 0.9755
Epoch 2 / 2 G Loss: 0.9574 D Loss: 1.1867
Epoch 2 / 2 G Loss: 1.0300 D Loss: 1.2661
Epoch 2 / 2 G Loss: 1.0424 D Loss: 1.2321
Epoch 2 / 2 G Loss: 1.0247 D Loss: 1.2054
Epoch 2 / 2 G Loss: 1.0198 D Loss: 0.9368
Epoch 2 / 2 G Loss: 1.1093 D Loss: 1.1801
Epoch 2 / 2 G Loss: 0.9838 D Loss: 0.9850
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Epoch 2 / 2 G Loss: 0.9792 D Loss: 1.1954
Epoch 2 / 2 G Loss: 1.2153 D Loss: 1.0908
Epoch 2 / 2 G Loss: 0.7785 D Loss: 1.2065
Epoch 2 / 2 G Loss: 1.6013 D Loss: 1.0081
Epoch 2 / 2 G Loss: 0.9660 D Loss: 1.1678
Epoch 2 / 2 G Loss: 0.9914 D Loss: 1.2877
Epoch 2 / 2 G Loss: 1.2278 D Loss: 1.2678
Epoch 2 / 2 G Loss: 1.0691 D Loss: 1.0642
Epoch 2 / 2 G Loss: 1.0109 D Loss: 1.3114
Epoch 2 / 2 G Loss: 0.8191 D Loss: 0.9694
Epoch 2 / 2 G Loss: 1.1169 D Loss: 0.8805
Epoch 2 / 2 G Loss: 1.2051 D Loss: 1.5029
Epoch 2 / 2 G Loss: 1.0989 D Loss: 1.2351
Epoch 2 / 2 G Loss: 0.8314 D Loss: 1.4765
Epoch 2 / 2 G Loss: 0.7898 D Loss: 1.1520
Epoch 2 / 2 G Loss: 0.7811 D Loss: 1.3407
Epoch 2 / 2 G Loss: 0.9176 D Loss: 1.1603
Epoch 2 / 2 G Loss: 0.8823 D Loss: 1.1255
Epoch 2 / 2 G Loss: 0.7326 D Loss: 1.3971
Epoch 2 / 2 G Loss: 1.4096 D Loss: 1.1344
Epoch 2 / 2 G Loss: 1.3236 D Loss: 1.1555
Epoch 2 / 2 G Loss: 0.9854 D Loss: 1.1665
Epoch 2 / 2 G Loss: 0.9400 D Loss: 1.2171
Epoch 2 / 2 G Loss: 0.8224 D Loss: 1.3096
Epoch 2 / 2 G Loss: 1.2910 D Loss: 0.9147
Epoch 2 / 2 G Loss: 1.1105 D Loss: 1.4707
Epoch 2 / 2 G Loss: 1.0895 D Loss: 1.0849
Epoch 2 / 2 G Loss: 1.0657 D Loss: 1.0564
Epoch 2 / 2 G Loss: 0.6795 D Loss: 1.0615
Epoch 2 / 2 G Loss: 0.8258 D Loss: 1.2563
Epoch 2 / 2 G Loss: 0.8425 D Loss: 1.3455
Epoch 2 / 2 G Loss: 1.1679 D Loss: 1.1293
Epoch 2 / 2 G Loss: 0.9144 D Loss: 1.2353
Epoch 2 / 2 G Loss: 1.1433 D Loss: 1.3316
Epoch 2 / 2 G Loss: 0.8369 D Loss: 1.3219
Epoch 2 / 2 G Loss: 0.9004 D Loss: 1.4134
Epoch 2 / 2 G Loss: 0.6718 D Loss: 1.3906
Epoch 2 / 2 G Loss: 1.0419 D Loss: 1.0474
Epoch 2 / 2 G Loss: 0.9977 D Loss: 0.9886
Epoch 2 / 2 G Loss: 1.0390 D Loss: 1.1124
Epoch 2 / 2 G Loss: 0.8050 D Loss: 1.0974
Epoch 2 / 2 G Loss: 1.0041 D Loss: 1.0206
Epoch 2 / 2 G Loss: 0.9067 D Loss: 1.3061
Epoch 2 / 2 G Loss: 1.3538 D Loss: 1.3262
Epoch 2 / 2 G Loss: 1.2071 D Loss: 1.0315
Epoch 2 / 2 G Loss: 0.7105 D Loss: 1.1980
Epoch 2 / 2 G Loss: 0.9313 D Loss: 1.0083
Epoch 2 / 2 G Loss: 0.8768 D Loss: 0.9555
Epoch 2 / 2 G Loss: 1.0353 D Loss: 1.1315
Epoch 2 / 2 G Loss: 0.6475 D Loss: 1.1845
Epoch 2 / 2 G Loss: 0.9830 D Loss: 1.2569
Epoch 2 / 2 G Loss: 1.0959 D Loss: 1.0582
Epoch 2 / 2 G Loss: 0.4656 D Loss: 1.3888
Epoch 2 / 2 G Loss: 0.9512 D Loss: 1.1089
Epoch 2 / 2 G Loss: 0.9428 D Loss: 1.0582
Epoch 2 / 2 G Loss: 0.9307 D Loss: 1.1792
Epoch 2 / 2 G Loss: 0.8016 D Loss: 1.2038
Epoch 2 / 2 G Loss: 0.9953 D Loss: 1.0277
Epoch 2 / 2 G Loss: 0.9830 D Loss: 1.2534
Epoch 2 / 2 G Loss: 0.7913 D Loss: 1.2993
Epoch 2 / 2 G Loss: 1.2559 D Loss: 1.3076
Epoch 2 / 2 G Loss: 1.0457 D Loss: 1.0005
Epoch 2 / 2 G Loss: 0.7579 D Loss: 0.9999
Epoch 2 / 2 G Loss: 1.1520 D Loss: 1.3454
Epoch 2 / 2 G Loss: 0.6833 D Loss: 1.3074
Epoch 2 / 2 G Loss: 1.1942 D Loss: 1.2943
Epoch 2 / 2 G Loss: 0.9076 D Loss: 1.3008
Epoch 2 / 2 G Loss: 1.0484 D Loss: 1.1173
Epoch 2 / 2 G Loss: 0.8464 D Loss: 1.2032
Epoch 2 / 2 G Loss: 0.9849 D Loss: 1.1396
Epoch 2 / 2 G Loss: 1.0750 D Loss: 0.8843
Epoch 2 / 2 G Loss: 0.9372 D Loss: 1.1845
Epoch 2 / 2 G Loss: 0.7947 D Loss: 1.4223
Epoch 2 / 2 G Loss: 0.5990 D Loss: 1.2379
Epoch 2 / 2 G Loss: 0.9170 D Loss: 1.1983
Epoch 2 / 2 G Loss: 0.9018 D Loss: 1.2656
Epoch 2 / 2 G Loss: 0.7963 D Loss: 0.9560
Epoch 2 / 2 G Loss: 0.7440 D Loss: 0.9968
Epoch 2 / 2 G Loss: 0.5919 D Loss: 1.3550
Epoch 2 / 2 G Loss: 0.9926 D Loss: 1.1360
Epoch 2 / 2 G Loss: 1.0370 D Loss: 1.0196
Epoch 2 / 2 G Loss: 0.7549 D Loss: 1.0744
Epoch 2 / 2 G Loss: 1.0608 D Loss: 1.2448
Epoch 2 / 2 G Loss: 0.9043 D Loss: 1.0203
Epoch 2 / 2 G Loss: 0.8766 D Loss: 1.1890
Epoch 2 / 2 G Loss: 0.9550 D Loss: 1.1911
Epoch 2 / 2 G Loss: 0.7707 D Loss: 1.1337
Epoch 2 / 2 G Loss: 1.0523 D Loss: 1.2034
Epoch 2 / 2 G Loss: 0.8552 D Loss: 1.2214
Epoch 2 / 2 G Loss: 1.3535 D Loss: 1.0138
Epoch 2 / 2 G Loss: 0.6529 D Loss: 1.4113
Epoch 2 / 2 G Loss: 1.1335 D Loss: 1.2843
Epoch 2 / 2 G Loss: 0.9847 D Loss: 1.4399
Epoch 2 / 2 G Loss: 0.8857 D Loss: 1.0065
Epoch 2 / 2 G Loss: 0.9353 D Loss: 1.1070
Epoch 2 / 2 G Loss: 0.9883 D Loss: 1.1748
Epoch 2 / 2 G Loss: 0.9433 D Loss: 1.0278
Epoch 2 / 2 G Loss: 1.0943 D Loss: 1.4197
Epoch 2 / 2 G Loss: 1.0106 D Loss: 1.2020
Epoch 2 / 2 G Loss: 0.9573 D Loss: 1.2238
Epoch 2 / 2 G Loss: 0.9982 D Loss: 1.4005
Epoch 2 / 2 G Loss: 0.9852 D Loss: 1.0594
Epoch 2 / 2 G Loss: 0.8382 D Loss: 1.0181
Epoch 2 / 2 G Loss: 0.6266 D Loss: 1.2059
Epoch 2 / 2 G Loss: 1.2261 D Loss: 1.1244
Epoch 2 / 2 G Loss: 0.9246 D Loss: 1.3967
Epoch 2 / 2 G Loss: 0.7908 D Loss: 1.2017
Epoch 2 / 2 G Loss: 0.8761 D Loss: 1.3249
Epoch 2 / 2 G Loss: 1.0108 D Loss: 1.0940
Epoch 2 / 2 G Loss: 1.1627 D Loss: 0.9170
Epoch 2 / 2 G Loss: 0.8556 D Loss: 1.4636
Epoch 2 / 2 G Loss: 0.7552 D Loss: 1.1957
Epoch 2 / 2 G Loss: 0.9939 D Loss: 1.0289
Epoch 2 / 2 G Loss: 0.5765 D Loss: 1.4579
Epoch 2 / 2 G Loss: 1.0426 D Loss: 1.3635
Epoch 2 / 2 G Loss: 0.9769 D Loss: 1.1387
Epoch 2 / 2 G Loss: 0.9862 D Loss: 1.0201
Epoch 2 / 2 G Loss: 0.8482 D Loss: 1.1990
Epoch 2 / 2 G Loss: 1.3205 D Loss: 1.2836
Epoch 2 / 2 G Loss: 1.0265 D Loss: 1.2445
Epoch 2 / 2 G Loss: 0.9096 D Loss: 1.1709
Epoch 2 / 2 G Loss: 1.2588 D Loss: 1.2214
Epoch 2 / 2 G Loss: 0.8215 D Loss: 1.2879
Epoch 2 / 2 G Loss: 0.8017 D Loss: 1.2635
Epoch 2 / 2 G Loss: 0.9902 D Loss: 1.1635
Epoch 2 / 2 G Loss: 0.7264 D Loss: 1.1372
Epoch 2 / 2 G Loss: 0.7380 D Loss: 1.0675
Epoch 2 / 2 G Loss: 1.1330 D Loss: 1.2454
Epoch 2 / 2 G Loss: 0.7950 D Loss: 1.2542
Epoch 2 / 2 G Loss: 0.9178 D Loss: 1.3241
Epoch 2 / 2 G Loss: 0.9215 D Loss: 1.2565
Epoch 2 / 2 G Loss: 0.7940 D Loss: 1.5034
Epoch 2 / 2 G Loss: 0.8556 D Loss: 1.2142
Epoch 2 / 2 G Loss: 0.7401 D Loss: 1.1172
Epoch 2 / 2 G Loss: 1.0485 D Loss: 1.0301
Epoch 2 / 2 G Loss: 0.9923 D Loss: 1.3499
Epoch 2 / 2 G Loss: 0.9575 D Loss: 1.1103
Epoch 2 / 2 G Loss: 0.8758 D Loss: 1.0737
Epoch 2 / 2 G Loss: 0.9879 D Loss: 0.9025
Epoch 2 / 2 G Loss: 0.7914 D Loss: 1.1628
Epoch 2 / 2 G Loss: 0.9619 D Loss: 1.2444
Epoch 2 / 2 G Loss: 0.7983 D Loss: 1.3493
Epoch 2 / 2 G Loss: 0.9214 D Loss: 1.2573
Epoch 2 / 2 G Loss: 0.8069 D Loss: 1.1345
Epoch 2 / 2 G Loss: 0.8799 D Loss: 1.2282
Epoch 2 / 2 G Loss: 0.9037 D Loss: 1.3371
Epoch 2 / 2 G Loss: 1.1296 D Loss: 1.1122
Epoch 2 / 2 G Loss: 0.8847 D Loss: 0.7913
Epoch 2 / 2 G Loss: 0.7433 D Loss: 1.1447
Epoch 2 / 2 G Loss: 0.8533 D Loss: 1.2122
Epoch 2 / 2 G Loss: 0.8365 D Loss: 1.3231
Epoch 2 / 2 G Loss: 0.5880 D Loss: 1.1914
Epoch 2 / 2 G Loss: 1.1364 D Loss: 1.0906
Epoch 2 / 2 G Loss: 0.8442 D Loss: 1.4753
Epoch 2 / 2 G Loss: 0.9398 D Loss: 1.1833
Epoch 2 / 2 G Loss: 0.8901 D Loss: 1.3387
Epoch 2 / 2 G Loss: 0.7731 D Loss: 1.1559
Epoch 2 / 2 G Loss: 1.2671 D Loss: 0.9425
Epoch 2 / 2 G Loss: 0.8706 D Loss: 0.9497
Epoch 2 / 2 G Loss: 0.7431 D Loss: 1.1494
Epoch 2 / 2 G Loss: 0.9797 D Loss: 1.1835
Epoch 2 / 2 G Loss: 0.8641 D Loss: 1.2121
Epoch 2 / 2 G Loss: 1.0292 D Loss: 1.1331
Epoch 2 / 2 G Loss: 0.7788 D Loss: 1.2354
Epoch 2 / 2 G Loss: 0.9554 D Loss: 1.2305
Epoch 2 / 2 G Loss: 1.0981 D Loss: 1.1954
Epoch 2 / 2 G Loss: 0.6411 D Loss: 1.1447
Epoch 2 / 2 G Loss: 0.9041 D Loss: 1.2336
Epoch 2 / 2 G Loss: 0.9861 D Loss: 1.0999
Epoch 2 / 2 G Loss: 0.6744 D Loss: 1.0991
Epoch 2 / 2 G Loss: 0.8647 D Loss: 1.1904
Epoch 2 / 2 G Loss: 0.8488 D Loss: 1.2566
Epoch 2 / 2 G Loss: 1.2671 D Loss: 0.9843
Epoch 2 / 2 G Loss: 1.0537 D Loss: 1.1740
Epoch 2 / 2 G Loss: 0.7181 D Loss: 1.0115
Epoch 2 / 2 G Loss: 1.0934 D Loss: 0.9435
Epoch 2 / 2 G Loss: 1.0360 D Loss: 1.1904
Epoch 2 / 2 G Loss: 1.2853 D Loss: 1.2378
Epoch 2 / 2 G Loss: 1.3406 D Loss: 1.1304
Epoch 2 / 2 G Loss: 0.6813 D Loss: 1.2714
Epoch 2 / 2 G Loss: 1.1357 D Loss: 1.1203
Epoch 2 / 2 G Loss: 0.8143 D Loss: 1.2942
Epoch 2 / 2 G Loss: 0.9218 D Loss: 1.3201
Epoch 2 / 2 G Loss: 0.8565 D Loss: 1.3442
Epoch 2 / 2 G Loss: 0.7847 D Loss: 1.1219
Epoch 2 / 2 G Loss: 0.9755 D Loss: 1.1431
Epoch 2 / 2 G Loss: 1.0307 D Loss: 1.2225
Epoch 2 / 2 G Loss: 1.3013 D Loss: 0.9713
Epoch 2 / 2 G Loss: 1.1580 D Loss: 1.3947
Epoch 2 / 2 G Loss: 1.0817 D Loss: 1.2678
Epoch 2 / 2 G Loss: 1.0316 D Loss: 1.5065
Epoch 2 / 2 G Loss: 0.7327 D Loss: 1.1924
Epoch 2 / 2 G Loss: 1.0105 D Loss: 1.2044
Epoch 2 / 2 G Loss: 0.9058 D Loss: 1.4942
Epoch 2 / 2 G Loss: 0.7446 D Loss: 1.2761
Epoch 2 / 2 G Loss: 0.9738 D Loss: 1.1660
Epoch 2 / 2 G Loss: 0.9783 D Loss: 0.9518
Epoch 2 / 2 G Loss: 1.1011 D Loss: 1.2101
Epoch 2 / 2 G Loss: 1.0563 D Loss: 1.2216
Epoch 2 / 2 G Loss: 0.9610 D Loss: 0.8803
Epoch 2 / 2 G Loss: 0.8129 D Loss: 1.3304
Epoch 2 / 2 G Loss: 0.9637 D Loss: 1.2306
Epoch 2 / 2 G Loss: 0.5345 D Loss: 1.1620
Epoch 2 / 2 G Loss: 1.0165 D Loss: 0.9868
Epoch 2 / 2 G Loss: 0.9621 D Loss: 1.1379
Epoch 2 / 2 G Loss: 1.0795 D Loss: 0.9560
Epoch 2 / 2 G Loss: 0.7749 D Loss: 1.2806
Epoch 2 / 2 G Loss: 1.2248 D Loss: 1.4192
Epoch 2 / 2 G Loss: 1.0181 D Loss: 1.0861
Epoch 2 / 2 G Loss: 1.0588 D Loss: 0.8552
Epoch 2 / 2 G Loss: 0.7912 D Loss: 1.1936
Epoch 2 / 2 G Loss: 1.1357 D Loss: 1.1958
Epoch 2 / 2 G Loss: 0.9688 D Loss: 1.3902
Epoch 2 / 2 G Loss: 0.9143 D Loss: 1.1226
Epoch 2 / 2 G Loss: 0.7761 D Loss: 1.2184
Epoch 2 / 2 G Loss: 1.0523 D Loss: 1.1442
Epoch 2 / 2 G Loss: 0.8374 D Loss: 1.2516
Epoch 2 / 2 G Loss: 1.1211 D Loss: 1.1920
Epoch 2 / 2 G Loss: 1.1836 D Loss: 1.0929
Epoch 2 / 2 G Loss: 0.7634 D Loss: 1.4092
Epoch 2 / 2 G Loss: 0.9734 D Loss: 1.2670
Epoch 2 / 2 G Loss: 0.7745 D Loss: 1.2667
Epoch 2 / 2 G Loss: 0.8877 D Loss: 1.0197
Epoch 2 / 2 G Loss: 1.2139 D Loss: 1.0018
Epoch 2 / 2 G Loss: 0.9482 D Loss: 1.0960
Epoch 2 / 2 G Loss: 1.0077 D Loss: 0.9946
Epoch 2 / 2 G Loss: 1.1214 D Loss: 0.9590
Epoch 2 / 2 G Loss: 0.6792 D Loss: 1.1476
Epoch 2 / 2 G Loss: 0.9547 D Loss: 1.1732
Epoch 2 / 2 G Loss: 0.8206 D Loss: 1.0340
Epoch 2 / 2 G Loss: 0.8536 D Loss: 1.1554
Epoch 2 / 2 G Loss: 1.2407 D Loss: 1.1999
Epoch 2 / 2 G Loss: 0.7478 D Loss: 1.1009
Epoch 2 / 2 G Loss: 1.0200 D Loss: 1.2944
Epoch 2 / 2 G Loss: 0.8915 D Loss: 1.3092
Epoch 2 / 2 G Loss: 1.3401 D Loss: 1.0238
Epoch 2 / 2 G Loss: 1.0382 D Loss: 1.1518
Epoch 2 / 2 G Loss: 1.0818 D Loss: 1.3287
Epoch 2 / 2 G Loss: 0.7103 D Loss: 1.2183
Epoch 2 / 2 G Loss: 0.9350 D Loss: 1.2892
Epoch 2 / 2 G Loss: 1.0730 D Loss: 1.0088
Epoch 2 / 2 G Loss: 0.7269 D Loss: 1.2420
Epoch 2 / 2 G Loss: 1.0461 D Loss: 1.2517
Epoch 2 / 2 G Loss: 0.9957 D Loss: 1.2880
Epoch 2 / 2 G Loss: 1.0642 D Loss: 1.2718
Epoch 2 / 2 G Loss: 0.7172 D Loss: 1.3071
Epoch 2 / 2 G Loss: 0.8390 D Loss: 1.2310
Epoch 2 / 2 G Loss: 1.0884 D Loss: 0.9958
Epoch 2 / 2 G Loss: 1.0984 D Loss: 1.1001
Epoch 2 / 2 G Loss: 1.0073 D Loss: 1.0384
Epoch 2 / 2 G Loss: 1.0189 D Loss: 1.1678
Epoch 2 / 2 G Loss: 1.0823 D Loss: 1.2920
Epoch 2 / 2 G Loss: 0.8599 D Loss: 1.0295
Epoch 2 / 2 G Loss: 0.8575 D Loss: 1.2252
Epoch 2 / 2 G Loss: 1.0378 D Loss: 1.1749
Epoch 2 / 2 G Loss: 0.7385 D Loss: 1.2322
Epoch 2 / 2 G Loss: 1.2074 D Loss: 1.0627
Epoch 2 / 2 G Loss: 0.7459 D Loss: 1.2512
Epoch 2 / 2 G Loss: 0.8484 D Loss: 1.2703
Epoch 2 / 2 G Loss: 1.0244 D Loss: 1.2423
Epoch 2 / 2 G Loss: 0.8429 D Loss: 1.2399
Epoch 2 / 2 G Loss: 0.9020 D Loss: 1.0990
Epoch 2 / 2 G Loss: 0.8270 D Loss: 1.2042
Epoch 2 / 2 G Loss: 0.6962 D Loss: 1.2063
Epoch 2 / 2 G Loss: 0.8313 D Loss: 1.4163
Epoch 2 / 2 G Loss: 0.9078 D Loss: 1.1196
Epoch 2 / 2 G Loss: 0.7670 D Loss: 1.2582
Epoch 2 / 2 G Loss: 1.0121 D Loss: 1.2527
Epoch 2 / 2 G Loss: 1.2724 D Loss: 1.0666
Epoch 2 / 2 G Loss: 1.0037 D Loss: 1.2998
Epoch 2 / 2 G Loss: 1.0751 D Loss: 1.1890
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Epoch 2 / 2 G Loss: 0.7875 D Loss: 1.3619
Epoch 2 / 2 G Loss: 0.8008 D Loss: 1.3114
Epoch 2 / 2 G Loss: 1.1713 D Loss: 0.8066
Epoch 2 / 2 G Loss: 1.0654 D Loss: 1.2788
Epoch 2 / 2 G Loss: 1.1892 D Loss: 1.1597
Epoch 2 / 2 G Loss: 0.9020 D Loss: 1.0514
Epoch 2 / 2 G Loss: 0.8549 D Loss: 1.2877
Epoch 2 / 2 G Loss: 0.8046 D Loss: 1.2512
Epoch 2 / 2 G Loss: 0.5995 D Loss: 1.3054
Epoch 2 / 2 G Loss: 0.7280 D Loss: 1.2587
Epoch 2 / 2 G Loss: 0.9584 D Loss: 1.1982
Epoch 2 / 2 G Loss: 0.6937 D Loss: 1.5348
Epoch 2 / 2 G Loss: 1.1014 D Loss: 1.2544
Epoch 2 / 2 G Loss: 0.8503 D Loss: 1.0419
Epoch 2 / 2 G Loss: 0.6403 D Loss: 1.4555
Epoch 2 / 2 G Loss: 0.8226 D Loss: 0.9638
Epoch 2 / 2 G Loss: 0.8283 D Loss: 1.1796
Epoch 2 / 2 G Loss: 0.8113 D Loss: 1.1647
Epoch 2 / 2 G Loss: 0.8564 D Loss: 1.2033
Epoch 2 / 2 G Loss: 0.6927 D Loss: 1.4477
Epoch 2 / 2 G Loss: 0.9403 D Loss: 1.1649
Epoch 2 / 2 G Loss: 0.8601 D Loss: 1.1061
Epoch 2 / 2 G Loss: 0.8630 D Loss: 1.1444
Epoch 2 / 2 G Loss: 0.9459 D Loss: 1.3176
Epoch 2 / 2 G Loss: 1.1992 D Loss: 1.1544
Epoch 2 / 2 G Loss: 0.7007 D Loss: 1.2012
Epoch 2 / 2 G Loss: 1.1232 D Loss: 1.0390
Epoch 2 / 2 G Loss: 1.1257 D Loss: 1.2780
Epoch 2 / 2 G Loss: 1.2733 D Loss: 1.1438
Epoch 2 / 2 G Loss: 0.8858 D Loss: 1.4589
Epoch 2 / 2 G Loss: 1.3168 D Loss: 1.1564
Epoch 2 / 2 G Loss: 1.0575 D Loss: 1.1418
Epoch 2 / 2 G Loss: 0.7437 D Loss: 1.0181
Epoch 2 / 2 G Loss: 1.1265 D Loss: 1.1456
Epoch 2 / 2 G Loss: 1.0571 D Loss: 1.2669
Epoch 2 / 2 G Loss: 0.8510 D Loss: 1.1908
Epoch 2 / 2 G Loss: 0.7097 D Loss: 1.1916
Epoch 2 / 2 G Loss: 0.9725 D Loss: 1.1915
Epoch 2 / 2 G Loss: 0.8351 D Loss: 1.2717
Epoch 2 / 2 G Loss: 0.8159 D Loss: 1.1445
Epoch 2 / 2 G Loss: 0.8657 D Loss: 1.2845
Epoch 2 / 2 G Loss: 0.9596 D Loss: 1.0654
Epoch 2 / 2 G Loss: 1.1641 D Loss: 1.0914
Epoch 2 / 2 G Loss: 0.8425 D Loss: 1.1159
Epoch 2 / 2 G Loss: 1.0080 D Loss: 1.1452
Epoch 2 / 2 G Loss: 0.8268 D Loss: 1.1401
Epoch 2 / 2 G Loss: 1.1671 D Loss: 1.2581
Epoch 2 / 2 G Loss: 0.9231 D Loss: 1.1554
Epoch 2 / 2 G Loss: 0.9414 D Loss: 1.0592
Epoch 2 / 2 G Loss: 0.7082 D Loss: 0.9665
Epoch 2 / 2 G Loss: 1.4629 D Loss: 1.3282
Epoch 2 / 2 G Loss: 0.9356 D Loss: 1.1267
Epoch 2 / 2 G Loss: 0.8205 D Loss: 1.2429
Epoch 2 / 2 G Loss: 1.3068 D Loss: 1.2127
Epoch 2 / 2 G Loss: 0.8069 D Loss: 1.1857
Epoch 2 / 2 G Loss: 1.1513 D Loss: 1.0313
Epoch 2 / 2 G Loss: 0.8057 D Loss: 1.3565
Epoch 2 / 2 G Loss: 0.9316 D Loss: 1.3322
Epoch 2 / 2 G Loss: 0.6245 D Loss: 1.0822
Epoch 2 / 2 G Loss: 0.7238 D Loss: 1.2116
Epoch 2 / 2 G Loss: 0.8258 D Loss: 1.2729
Epoch 2 / 2 G Loss: 0.6640 D Loss: 1.0996
Epoch 2 / 2 G Loss: 0.9577 D Loss: 1.1008
Epoch 2 / 2 G Loss: 0.9821 D Loss: 1.1217
Epoch 2 / 2 G Loss: 0.9918 D Loss: 1.1090
Epoch 2 / 2 G Loss: 1.0480 D Loss: 1.2702
Epoch 2 / 2 G Loss: 1.2285 D Loss: 1.4433
Epoch 2 / 2 G Loss: 0.9128 D Loss: 1.2347
Epoch 2 / 2 G Loss: 1.1461 D Loss: 1.0869
Epoch 2 / 2 G Loss: 0.9180 D Loss: 1.3120
Epoch 2 / 2 G Loss: 1.0305 D Loss: 1.1269
Epoch 2 / 2 G Loss: 1.0473 D Loss: 1.1340
Epoch 2 / 2 G Loss: 1.2892 D Loss: 1.3021
Epoch 2 / 2 G Loss: 0.9547 D Loss: 1.1005
Epoch 2 / 2 G Loss: 1.1710 D Loss: 1.1222
Epoch 2 / 2 G Loss: 0.7827 D Loss: 1.0880
Epoch 2 / 2 G Loss: 0.9395 D Loss: 1.1444
Epoch 2 / 2 G Loss: 0.9313 D Loss: 1.1772
Epoch 2 / 2 G Loss: 0.9807 D Loss: 1.0847
Epoch 2 / 2 G Loss: 0.8304 D Loss: 1.2030
Epoch 2 / 2 G Loss: 0.7867 D Loss: 1.3718
Epoch 2 / 2 G Loss: 0.9567 D Loss: 1.1742
Epoch 2 / 2 G Loss: 1.0723 D Loss: 1.1504
Epoch 2 / 2 G Loss: 0.5988 D Loss: 1.1477
Epoch 2 / 2 G Loss: 0.9512 D Loss: 1.2554
Epoch 2 / 2 G Loss: 0.9772 D Loss: 1.2113
Epoch 2 / 2 G Loss: 0.8621 D Loss: 1.4360
Epoch 2 / 2 G Loss: 1.1250 D Loss: 1.0757
Epoch 2 / 2 G Loss: 0.8807 D Loss: 1.0127
Epoch 2 / 2 G Loss: 0.8507 D Loss: 1.2297
Epoch 2 / 2 G Loss: 0.6816 D Loss: 1.1976
Epoch 2 / 2 G Loss: 0.7592 D Loss: 1.1313
Epoch 2 / 2 G Loss: 0.9965 D Loss: 1.3375
Epoch 2 / 2 G Loss: 0.9901 D Loss: 1.4050
Epoch 2 / 2 G Loss: 1.0509 D Loss: 1.1819
Epoch 2 / 2 G Loss: 0.6560 D Loss: 1.2287
Epoch 2 / 2 G Loss: 1.3996 D Loss: 1.2258
Epoch 2 / 2 G Loss: 0.8499 D Loss: 0.9600
Epoch 2 / 2 G Loss: 1.2899 D Loss: 1.1079
Epoch 2 / 2 G Loss: 1.3750 D Loss: 1.2541
Epoch 2 / 2 G Loss: 1.0568 D Loss: 1.2352
Epoch 2 / 2 G Loss: 1.1296 D Loss: 1.2310
Epoch 2 / 2 G Loss: 0.7876 D Loss: 1.0911
Epoch 2 / 2 G Loss: 0.7983 D Loss: 1.1951
Epoch 2 / 2 G Loss: 0.8263 D Loss: 1.1137
Epoch 2 / 2 G Loss: 0.8667 D Loss: 1.2627
Epoch 2 / 2 G Loss: 1.2688 D Loss: 1.1699
Epoch 2 / 2 G Loss: 0.9074 D Loss: 0.9666
Epoch 2 / 2 G Loss: 0.8600 D Loss: 0.9472
Epoch 2 / 2 G Loss: 0.7712 D Loss: 1.1811
Epoch 2 / 2 G Loss: 0.8706 D Loss: 1.2680
Epoch 2 / 2 G Loss: 0.6291 D Loss: 1.3608
Epoch 2 / 2 G Loss: 0.5317 D Loss: 1.1288
Epoch 2 / 2 G Loss: 0.8608 D Loss: 1.0722
Epoch 2 / 2 G Loss: 0.7316 D Loss: 1.1133
Epoch 2 / 2 G Loss: 0.9947 D Loss: 1.1604
Epoch 2 / 2 G Loss: 0.6850 D Loss: 1.3687
Epoch 2 / 2 G Loss: 0.7902 D Loss: 1.5387
Epoch 2 / 2 G Loss: 0.9654 D Loss: 1.0213
Epoch 2 / 2 G Loss: 0.7061 D Loss: 1.1671
Epoch 2 / 2 G Loss: 1.1645 D Loss: 1.1040
Epoch 2 / 2 G Loss: 0.8604 D Loss: 1.5660
Epoch 2 / 2 G Loss: 1.6143 D Loss: 1.0320
Epoch 2 / 2 G Loss: 0.8759 D Loss: 1.2365
Epoch 2 / 2 G Loss: 0.7780 D Loss: 1.4503
Epoch 2 / 2 G Loss: 0.8199 D Loss: 1.2360
Epoch 2 / 2 G Loss: 1.1502 D Loss: 1.2144
Epoch 2 / 2 G Loss: 0.7108 D Loss: 1.1638
Epoch 2 / 2 G Loss: 0.8612 D Loss: 1.3177
Epoch 2 / 2 G Loss: 0.8890 D Loss: 1.3097
Epoch 2 / 2 G Loss: 0.7894 D Loss: 1.0966
Epoch 2 / 2 G Loss: 1.0993 D Loss: 1.4262
Epoch 2 / 2 G Loss: 1.2897 D Loss: 1.1347
Epoch 2 / 2 G Loss: 0.8834 D Loss: 1.2419
Epoch 2 / 2 G Loss: 0.9895 D Loss: 1.2464
Epoch 2 / 2 G Loss: 0.8219 D Loss: 1.2689
Epoch 2 / 2 G Loss: 1.0557 D Loss: 1.1711
Epoch 2 / 2 G Loss: 1.3209 D Loss: 1.0993
Epoch 2 / 2 G Loss: 0.7299 D Loss: 1.2927
Epoch 2 / 2 G Loss: 0.9741 D Loss: 1.2364
Epoch 2 / 2 G Loss: 1.0173 D Loss: 1.1599
Epoch 2 / 2 G Loss: 0.6449 D Loss: 1.2456
Epoch 2 / 2 G Loss: 0.7309 D Loss: 1.2182
Epoch 2 / 2 G Loss: 0.9470 D Loss: 1.0665
Epoch 2 / 2 G Loss: 1.1820 D Loss: 1.0809
Epoch 2 / 2 G Loss: 1.0770 D Loss: 1.0909
Epoch 2 / 2 G Loss: 0.8133 D Loss: 1.2168
Epoch 2 / 2 G Loss: 0.8187 D Loss: 1.2070
Epoch 2 / 2 G Loss: 0.9892 D Loss: 1.2955
Epoch 2 / 2 G Loss: 1.0736 D Loss: 1.0517
Epoch 2 / 2 G Loss: 1.0129 D Loss: 1.1999
Epoch 2 / 2 G Loss: 1.1929 D Loss: 1.1087
Epoch 2 / 2 G Loss: 0.9283 D Loss: 1.1494
Epoch 2 / 2 G Loss: 1.0858 D Loss: 1.2020
Epoch 2 / 2 G Loss: 0.9977 D Loss: 1.2630
Epoch 2 / 2 G Loss: 1.1858 D Loss: 1.1928
Epoch 2 / 2 G Loss: 0.8982 D Loss: 1.4475
Epoch 2 / 2 G Loss: 0.9685 D Loss: 1.1467
Epoch 2 / 2 G Loss: 0.9125 D Loss: 1.2690
Epoch 2 / 2 G Loss: 0.9325 D Loss: 1.0585
Epoch 2 / 2 G Loss: 1.3208 D Loss: 1.0680
Epoch 2 / 2 G Loss: 0.8044 D Loss: 1.2353
Epoch 2 / 2 G Loss: 0.9777 D Loss: 1.3927
Epoch 2 / 2 G Loss: 1.1137 D Loss: 1.0897
Epoch 2 / 2 G Loss: 0.8590 D Loss: 1.1548
Epoch 2 / 2 G Loss: 1.0883 D Loss: 1.0523
Epoch 2 / 2 G Loss: 1.1488 D Loss: 1.2755
Epoch 2 / 2 G Loss: 0.8207 D Loss: 1.0888
Epoch 2 / 2 G Loss: 1.0059 D Loss: 1.5534
Epoch 2 / 2 G Loss: 0.5477 D Loss: 1.0611
Epoch 2 / 2 G Loss: 0.8163 D Loss: 1.1309
Epoch 2 / 2 G Loss: 0.7441 D Loss: 1.2536
Epoch 2 / 2 G Loss: 0.9023 D Loss: 1.1592
Epoch 2 / 2 G Loss: 0.9762 D Loss: 1.0796
Epoch 2 / 2 G Loss: 0.8900 D Loss: 1.2668
Epoch 2 / 2 G Loss: 0.8466 D Loss: 1.1864
Epoch 2 / 2 G Loss: 0.9202 D Loss: 1.2243
Epoch 2 / 2 G Loss: 0.8782 D Loss: 1.1745
Epoch 2 / 2 G Loss: 1.1691 D Loss: 1.1459
Epoch 2 / 2 G Loss: 1.1150 D Loss: 1.1344
Epoch 2 / 2 G Loss: 0.7318 D Loss: 1.2107
Epoch 2 / 2 G Loss: 1.1965 D Loss: 1.0062
Epoch 2 / 2 G Loss: 0.7806 D Loss: 1.2414
Epoch 2 / 2 G Loss: 0.8009 D Loss: 1.1306
Epoch 2 / 2 G Loss: 1.2580 D Loss: 1.1747
Epoch 2 / 2 G Loss: 1.0136 D Loss: 1.2506
Epoch 2 / 2 G Loss: 1.1373 D Loss: 0.9506
Epoch 2 / 2 G Loss: 0.8629 D Loss: 1.3393
Epoch 2 / 2 G Loss: 0.9941 D Loss: 1.1167
Epoch 2 / 2 G Loss: 0.9125 D Loss: 1.1219
Epoch 2 / 2 G Loss: 0.7968 D Loss: 1.3685
Epoch 2 / 2 G Loss: 1.0960 D Loss: 1.0175
Epoch 2 / 2 G Loss: 1.2351 D Loss: 0.9995
Epoch 2 / 2 G Loss: 0.8588 D Loss: 1.3059
Epoch 2 / 2 G Loss: 0.9426 D Loss: 1.4399
Epoch 2 / 2 G Loss: 1.4583 D Loss: 1.2292
Epoch 2 / 2 G Loss: 0.7785 D Loss: 1.3423
Epoch 2 / 2 G Loss: 1.1963 D Loss: 1.0839
Epoch 2 / 2 G Loss: 1.0937 D Loss: 1.2139
Epoch 2 / 2 G Loss: 0.8385 D Loss: 1.2627
Epoch 2 / 2 G Loss: 0.8405 D Loss: 1.1800
Epoch 2 / 2 G Loss: 1.0211 D Loss: 1.2829
Epoch 2 / 2 G Loss: 0.9523 D Loss: 1.3021
Epoch 2 / 2 G Loss: 0.9436 D Loss: 1.2466
Epoch 2 / 2 G Loss: 0.9263 D Loss: 1.3169
Epoch 2 / 2 G Loss: 0.9594 D Loss: 1.1218
Epoch 2 / 2 G Loss: 0.8103 D Loss: 1.2019
Epoch 2 / 2 G Loss: 1.0565 D Loss: 1.2195
Epoch 2 / 2 G Loss: 0.8445 D Loss: 1.2592
Epoch 2 / 2 G Loss: 1.0432 D Loss: 1.4235
Epoch 2 / 2 G Loss: 1.0157 D Loss: 1.0299
Epoch 2 / 2 G Loss: 1.0576 D Loss: 1.1905
Epoch 2 / 2 G Loss: 1.0195 D Loss: 1.0631
Epoch 2 / 2 G Loss: 0.9098 D Loss: 1.0575
Epoch 2 / 2 G Loss: 0.7598 D Loss: 1.2864
Epoch 2 / 2 G Loss: 0.8030 D Loss: 1.1358
Epoch 2 / 2 G Loss: 0.8466 D Loss: 1.1206
Epoch 2 / 2 G Loss: 1.0314 D Loss: 1.2896
Epoch 2 / 2 G Loss: 1.0326 D Loss: 1.2614
Epoch 2 / 2 G Loss: 0.7407 D Loss: 1.1985
Epoch 2 / 2 G Loss: 0.7735 D Loss: 1.0689
Epoch 2 / 2 G Loss: 0.8654 D Loss: 1.1933
Epoch 2 / 2 G Loss: 0.9554 D Loss: 1.2002
Epoch 2 / 2 G Loss: 1.1075 D Loss: 1.2128
Epoch 2 / 2 G Loss: 0.9684 D Loss: 1.0435
Epoch 2 / 2 G Loss: 1.1044 D Loss: 1.0267
Epoch 2 / 2 G Loss: 0.8135 D Loss: 1.2240
Epoch 2 / 2 G Loss: 0.9358 D Loss: 1.0649
Epoch 2 / 2 G Loss: 1.1353 D Loss: 0.9662
Epoch 2 / 2 G Loss: 0.7427 D Loss: 1.1210
Epoch 2 / 2 G Loss: 0.7637 D Loss: 1.2718
Epoch 2 / 2 G Loss: 0.9676 D Loss: 1.2007
Epoch 2 / 2 G Loss: 1.1889 D Loss: 1.1626
Epoch 2 / 2 G Loss: 1.0508 D Loss: 1.3300
Epoch 2 / 2 G Loss: 0.8053 D Loss: 1.3095
Epoch 2 / 2 G Loss: 0.8030 D Loss: 1.1472
Epoch 2 / 2 G Loss: 0.9025 D Loss: 1.1720
Epoch 2 / 2 G Loss: 0.8704 D Loss: 1.1150
Epoch 2 / 2 G Loss: 0.8572 D Loss: 1.3387
Epoch 2 / 2 G Loss: 0.8433 D Loss: 1.3671
Epoch 2 / 2 G Loss: 1.1281 D Loss: 1.1657
Epoch 2 / 2 G Loss: 1.0249 D Loss: 1.1386
Epoch 2 / 2 G Loss: 0.8509 D Loss: 1.1073
Epoch 2 / 2 G Loss: 1.2416 D Loss: 1.1521
Epoch 2 / 2 G Loss: 1.3209 D Loss: 1.0269
Epoch 2 / 2 G Loss: 0.9441 D Loss: 0.8818
Epoch 2 / 2 G Loss: 1.0426 D Loss: 1.0252
Epoch 2 / 2 G Loss: 1.1858 D Loss: 1.2656
Epoch 2 / 2 G Loss: 0.9751 D Loss: 1.0486
Epoch 2 / 2 G Loss: 1.1581 D Loss: 1.2417
Epoch 2 / 2 G Loss: 0.9910 D Loss: 1.1010
Epoch 2 / 2 G Loss: 1.0186 D Loss: 1.2067
Epoch 2 / 2 G Loss: 1.1596 D Loss: 1.1516
Epoch 2 / 2 G Loss: 0.9912 D Loss: 1.1228
Epoch 2 / 2 G Loss: 1.1574 D Loss: 1.1148
Epoch 2 / 2 G Loss: 0.6775 D Loss: 1.0960
Epoch 2 / 2 G Loss: 0.6968 D Loss: 1.0888
Epoch 2 / 2 G Loss: 0.7937 D Loss: 1.2858
Epoch 2 / 2 G Loss: 0.7497 D Loss: 1.3034
Epoch 2 / 2 G Loss: 1.1531 D Loss: 1.2630
Epoch 2 / 2 G Loss: 0.8368 D Loss: 1.1673
Epoch 2 / 2 G Loss: 1.0340 D Loss: 1.1872
Epoch 2 / 2 G Loss: 1.0024 D Loss: 1.1725
Epoch 2 / 2 G Loss: 1.1927 D Loss: 0.8863
Epoch 2 / 2 G Loss: 0.8325 D Loss: 1.1549
Epoch 2 / 2 G Loss: 1.0721 D Loss: 1.3429
Epoch 2 / 2 G Loss: 1.0869 D Loss: 1.4641
Epoch 2 / 2 G Loss: 0.7233 D Loss: 1.5797
Epoch 2 / 2 G Loss: 0.8913 D Loss: 1.2631
Epoch 2 / 2 G Loss: 0.5718 D Loss: 1.2308
Epoch 2 / 2 G Loss: 0.8669 D Loss: 1.2990
Epoch 2 / 2 G Loss: 0.9389 D Loss: 1.2408
Epoch 2 / 2 G Loss: 1.4746 D Loss: 1.2912
Epoch 2 / 2 G Loss: 0.9513 D Loss: 0.9817
Epoch 2 / 2 G Loss: 1.0327 D Loss: 0.9026
Epoch 2 / 2 G Loss: 0.7683 D Loss: 1.1615
Epoch 2 / 2 G Loss: 0.9173 D Loss: 1.2762
Epoch 2 / 2 G Loss: 1.2778 D Loss: 1.1972
Epoch 2 / 2 G Loss: 1.0517 D Loss: 1.1349
Epoch 2 / 2 G Loss: 0.8593 D Loss: 1.3328
Epoch 2 / 2 G Loss: 0.9036 D Loss: 1.1057
Epoch 2 / 2 G Loss: 1.0970 D Loss: 1.1839
Epoch 2 / 2 G Loss: 0.7044 D Loss: 0.9590
Epoch 2 / 2 G Loss: 0.8830 D Loss: 1.2840
Epoch 2 / 2 G Loss: 0.6865 D Loss: 1.2954
Epoch 2 / 2 G Loss: 0.7571 D Loss: 1.0208
Epoch 2 / 2 G Loss: 1.0751 D Loss: 1.1782
Epoch 2 / 2 G Loss: 0.8977 D Loss: 1.2212
Epoch 2 / 2 G Loss: 0.9050 D Loss: 1.1475
Epoch 2 / 2 G Loss: 0.9610 D Loss: 1.1637
Epoch 2 / 2 G Loss: 0.7549 D Loss: 1.1617
Epoch 2 / 2 G Loss: 1.5772 D Loss: 1.2720
Epoch 2 / 2 G Loss: 1.0948 D Loss: 1.1405
Epoch 2 / 2 G Loss: 1.0004 D Loss: 1.0975
Epoch 2 / 2 G Loss: 1.4550 D Loss: 1.1905
Epoch 2 / 2 G Loss: 1.1543 D Loss: 1.0527
Epoch 2 / 2 G Loss: 0.9846 D Loss: 1.0303
Epoch 2 / 2 G Loss: 0.9381 D Loss: 1.1022
Epoch 2 / 2 G Loss: 0.9720 D Loss: 1.0208
Epoch 2 / 2 G Loss: 0.9335 D Loss: 1.4193
Epoch 2 / 2 G Loss: 0.8742 D Loss: 1.1446
Epoch 2 / 2 G Loss: 0.9717 D Loss: 1.2031
Epoch 2 / 2 G Loss: 0.9723 D Loss: 1.3138
Epoch 2 / 2 G Loss: 0.9990 D Loss: 1.2773
Epoch 2 / 2 G Loss: 1.0108 D Loss: 1.0333
Epoch 2 / 2 G Loss: 0.7545 D Loss: 1.2235
Epoch 2 / 2 G Loss: 0.8901 D Loss: 1.1300
Epoch 2 / 2 G Loss: 0.8820 D Loss: 1.1777
Epoch 2 / 2 G Loss: 0.9842 D Loss: 1.3507
Epoch 2 / 2 G Loss: 1.1699 D Loss: 1.4006
Epoch 2 / 2 G Loss: 1.0042 D Loss: 1.1877
Epoch 2 / 2 G Loss: 0.8704 D Loss: 1.1505
Epoch 2 / 2 G Loss: 0.9433 D Loss: 1.3312
Epoch 2 / 2 G Loss: 1.0498 D Loss: 1.0665
Epoch 2 / 2 G Loss: 0.8980 D Loss: 1.2665
Epoch 2 / 2 G Loss: 1.0080 D Loss: 1.3651
Epoch 2 / 2 G Loss: 1.3543 D Loss: 1.0673
Epoch 2 / 2 G Loss: 0.7045 D Loss: 1.0499
Epoch 2 / 2 G Loss: 1.2090 D Loss: 1.2713
Epoch 2 / 2 G Loss: 0.8523 D Loss: 1.0508
Epoch 2 / 2 G Loss: 1.0888 D Loss: 1.1885
Epoch 2 / 2 G Loss: 1.0266 D Loss: 1.0642
Epoch 2 / 2 G Loss: 0.8971 D Loss: 1.1488
Epoch 2 / 2 G Loss: 0.9533 D Loss: 1.2042
Epoch 2 / 2 G Loss: 1.0146 D Loss: 1.1774
Epoch 2 / 2 G Loss: 1.2641 D Loss: 1.1273
Epoch 2 / 2 G Loss: 0.7554 D Loss: 1.2602
Epoch 2 / 2 G Loss: 0.7917 D Loss: 1.0713
Epoch 2 / 2 G Loss: 0.9080 D Loss: 1.2193
Epoch 2 / 2 G Loss: 0.7503 D Loss: 1.2895
Epoch 2 / 2 G Loss: 1.1105 D Loss: 1.1743
Epoch 2 / 2 G Loss: 0.9371 D Loss: 1.2810
Epoch 2 / 2 G Loss: 0.7785 D Loss: 1.4015
Epoch 2 / 2 G Loss: 0.8567 D Loss: 1.3273
Epoch 2 / 2 G Loss: 0.8422 D Loss: 1.3440
Epoch 2 / 2 G Loss: 0.8076 D Loss: 1.0068
Epoch 2 / 2 G Loss: 1.2375 D Loss: 1.1288
Epoch 2 / 2 G Loss: 0.8216 D Loss: 1.1834
Epoch 2 / 2 G Loss: 0.8979 D Loss: 1.1669
Epoch 2 / 2 G Loss: 1.2257 D Loss: 1.1363
Epoch 2 / 2 G Loss: 1.0010 D Loss: 1.2853
Epoch 2 / 2 G Loss: 0.9542 D Loss: 1.4522
Epoch 2 / 2 G Loss: 0.9464 D Loss: 1.0758
Epoch 2 / 2 G Loss: 0.7429 D Loss: 1.2418
Epoch 2 / 2 G Loss: 1.0423 D Loss: 1.1341
Epoch 2 / 2 G Loss: 0.9333 D Loss: 1.3029
Epoch 2 / 2 G Loss: 1.1612 D Loss: 1.2499
Epoch 2 / 2 G Loss: 1.0549 D Loss: 0.8414
Epoch 2 / 2 G Loss: 1.1074 D Loss: 1.2535
Epoch 2 / 2 G Loss: 0.7475 D Loss: 1.2117
Epoch 2 / 2 G Loss: 0.9543 D Loss: 0.9544
Epoch 2 / 2 G Loss: 1.1811 D Loss: 1.2245
Epoch 2 / 2 G Loss: 0.7645 D Loss: 1.2621
Epoch 2 / 2 G Loss: 1.1302 D Loss: 1.1342
Epoch 2 / 2 G Loss: 1.4713 D Loss: 1.2200
Epoch 2 / 2 G Loss: 0.8731 D Loss: 1.0419
Epoch 2 / 2 G Loss: 0.9382 D Loss: 1.0256
Epoch 2 / 2 G Loss: 0.9140 D Loss: 1.0415
Epoch 2 / 2 G Loss: 0.9129 D Loss: 1.3206
Epoch 2 / 2 G Loss: 0.8314 D Loss: 1.3475
Epoch 2 / 2 G Loss: 0.9398 D Loss: 1.2331
Done

Submitting This Project

When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.